A citation-based method for searching scientific literature

Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Thippa Reddy Gadekallu, Siva Rama Krishnan S, Chiranji Lal Chowdhary, Mamoun Alazab, Md Jalil Piran. Sustain Cities Soc 2021
Times Cited: 58







List of co-cited articles
226 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



Automated detection of COVID-19 cases using deep neural networks with X-ray images.
Tulin Ozturk, Muhammed Talo, Eylul Azra Yildirim, Ulas Baran Baloglu, Ozal Yildirim, U Rajendra Acharya. Comput Biol Med 2020
411
20



Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.
Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun, Liming Xia. Radiology 2020
13

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios.
Rodolfo M Pereira, Diego Bertolini, Lucas O Teixeira, Carlos N Silla, Yandre M G Costa. Comput Methods Programs Biomed 2020
98
12

Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet.
Harsh Panwar, P K Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Vaishnavi Singh. Chaos Solitons Fractals 2020
96
12

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images.
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao. IEEE Trans Med Imaging 2020
129
12


Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR.
Yicheng Fang, Huangqi Zhang, Jicheng Xie, Minjie Lin, Lingjun Ying, Peipei Pang, Wenbin Ji. Radiology 2020
10

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U Rajendra Acharya, Nazanin Khadem, Afshin Mohammadi. Comput Biol Med 2020
149
10

COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data.
Michael J Horry, Subrata Chakraborty, Manoranjan Paul, Anwaar Ulhaq, Biswajeet Pradhan, Manas Saha, Nagesh Shukla. IEEE Access 2020
36
16

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.
Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi. Med Image Anal 2020
137
10


A deep learning-based social distance monitoring framework for COVID-19.
Imran Ahmed, Misbah Ahmad, Joel J P C Rodrigues, Gwanggil Jeon, Sadia Din. Sustain Cities Soc 2021
28
17

Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection.
Mohamed Loey, Gunasekaran Manogaran, Mohamed Hamed N Taha, Nour Eldeen M Khalifa. Sustain Cities Soc 2021
23
21


COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm.
Celestine Iwendi, Ali Kashif Bashir, Atharva Peshkar, R Sujatha, Jyotir Moy Chatterjee, Swetha Pasupuleti, Rishita Mishra, Sofia Pillai, Ohyun Jo. Front Public Health 2020
46
10

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network.
Asmaa Abbas, Mohammed M Abdelsamea, Mohamed Medhat Gaber. Appl Intell (Dordr) 2020
75
8

Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays.
N Narayan Das, N Kumar, M Kaur, V Kumar, D Singh. Ing Rech Biomed 2020
53
9

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
8

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia.
Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Qin Ni, Yanfei Chen, Junwei Su,[...]. Engineering (Beijing) 2020
167
8

A deep learning approach to detect Covid-19 coronavirus with X-Ray images.
Govardhan Jain, Deepti Mittal, Daksh Thakur, Madhup K Mittal. Biocybern Biomed Eng 2020
35
14

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.
Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, Antonella Santone. Comput Methods Programs Biomed 2020
88
8

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.
Asif Iqbal Khan, Junaid Latief Shah, Mohammad Mudasir Bhat. Comput Methods Programs Biomed 2020
190
8

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.
Yujin Oh, Sangjoon Park, Jong Chul Ye. IEEE Trans Med Imaging 2020
137
6

A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic.
Mohamed Loey, Gunasekaran Manogaran, Mohamed Hamed N Taha, Nour Eldeen M Khalifa. Measurement (Lond) 2021
30
13


Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.
Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli,[...]. IEEE Trans Med Imaging 2020
72
6

Artificial intelligence-enabled rapid diagnosis of patients with COVID-19.
Xueyan Mei, Hao-Chih Lee, Kai-Yue Diao, Mingqian Huang, Bin Lin, Chenyu Liu, Zongyu Xie, Yixuan Ma, Philip M Robson, Michael Chung,[...]. Nat Med 2020
258
6

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images.
Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N Plataniotis, Arash Mohammadi. Pattern Recognit Lett 2020
106
6

Classification of COVID-19 individuals using adaptive neuro-fuzzy inference system.
Celestine Iwendi, Kainaat Mahboob, Zarnab Khalid, Abdul Rehman Javed, Muhammad Rizwan, Uttam Ghosh. Multimed Syst 2021
10
40


A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images.
Harsh Panwar, P K Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Prakhar Bhardwaj, Vaishnavi Singh. Chaos Solitons Fractals 2020
43
9

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning.
Edison Ong, Mei U Wong, Anthony Huffman, Yongqun He. Front Immunol 2020
107
6


Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.
Daniel S Kermany, Michael Goldbaum, Wenjia Cai, Carolina C S Valentim, Huiying Liang, Sally L Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan,[...]. Cell 2018
641
6

Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections.
Ahmed Sedik, Abdullah M Iliyasu, Basma Abd El-Rahiem, Mohammed E Abdel Samea, Asmaa Abdel-Raheem, Mohamed Hammad, Jialiang Peng, Fathi E Abd El-Samie, Ahmed A Abd El-Latif. Viruses 2020
32
12

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song,[...]. IEEE Trans Med Imaging 2020
71
6

Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble.
Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, Deepak Jain, Satyabhuwan Singh Netam. Expert Syst Appl 2021
39
10

New machine learning method for image-based diagnosis of COVID-19.
Mohamed Abd Elaziz, Khalid M Hosny, Ahmad Salah, Mohamed M Darwish, Songfeng Lu, Ahmed T Sahlol. PLoS One 2020
58
6

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images.
Emtiaz Hussain, Mahmudul Hasan, Md Anisur Rahman, Ickjai Lee, Tasmi Tamanna, Mohammad Zavid Parvez. Chaos Solitons Fractals 2021
29
13

Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.
Dawei Wang, Bo Hu, Chang Hu, Fangfang Zhu, Xing Liu, Jing Zhang, Binbin Wang, Hui Xiang, Zhenshun Cheng, Yong Xiong,[...]. JAMA 2020
6

A survey on deep learning in medical image analysis.
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A W M van der Laak, Bram van Ginneken, Clara I Sánchez. Med Image Anal 2017
6

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
Hoo-Chang Shin, Holger R Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M Summers. IEEE Trans Med Imaging 2016
830
6


Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng. Int J Med Inform 2020
34
11


Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.
Nanshan Chen, Min Zhou, Xuan Dong, Jieming Qu, Fengyun Gong, Yang Han, Yang Qiu, Jingli Wang, Ying Liu, Yuan Wei,[...]. Lancet 2020
6

Truncated inception net: COVID-19 outbreak screening using chest X-rays.
Dipayan Das, K C Santosh, Umapada Pal. Phys Eng Sci Med 2020
64
6


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.