A citation-based method for searching scientific literature

Asu Kumar Singh, Anupam Kumar, Mufti Mahmud, M Shamim Kaiser, Akshat Kishore. Cognit Comput 2021
Times Cited: 6







List of co-cited articles
46 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
66

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
66





COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings.
Mohd Zulfaezal Che Azemin, Radhiana Hassan, Mohd Izzuddin Mohd Tamrin, Mohd Adli Md Ali. Int J Biomed Imaging 2020
21
50

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
50

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
50

COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning.
Nur-A- Alam, Mominul Ahsan, Md Abdul Based, Julfikar Haider, Marcin Kowalski. Sensors (Basel) 2021
12
50


Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study.
Soumya Ranjan Nayak, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, Ram Bilas Pachori. Biomed Signal Process Control 2021
35
33

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
33

Deep learning based detection and analysis of COVID-19 on chest X-ray images.
Rachna Jain, Meenu Gupta, Soham Taneja, D Jude Hemanth. Appl Intell (Dordr) 2020
35
33

COVID-19 pneumonia: what has CT taught us?
Elaine Y P Lee, Ming-Yen Ng, Pek-Lan Khong. Lancet Infect Dis 2020
128
33

Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing.
Xingzhi Xie, Zheng Zhong, Wei Zhao, Chao Zheng, Fei Wang, Jun Liu. Radiology 2020
916
33

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
33

The role of imaging in 2019 novel coronavirus pneumonia (COVID-19).
Wenjing Yang, Arlene Sirajuddin, Xiaochun Zhang, Guanshu Liu, Zhongzhao Teng, Shihua Zhao, Minjie Lu. Eur Radiol 2020
117
33


Deep learning for diagnosis of COVID-19 using 3D CT scans.
Sertan Serte, Hasan Demirel. Comput Biol Med 2021
7
33

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
33

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
33

Findings of lung ultrasonography of novel corona virus pneumonia during the 2019-2020 epidemic.
Qian-Yi Peng, Xiao-Ting Wang, Li-Na Zhang. Intensive Care Med 2020
385
33

Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients.
Sana Salehi, Aidin Abedi, Sudheer Balakrishnan, Ali Gholamrezanezhad. AJR Am J Roentgenol 2020
621
33

Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study.
Heshui Shi, Xiaoyu Han, Nanchuan Jiang, Yukun Cao, Osamah Alwalid, Jin Gu, Yanqing Fan, Chuansheng Zheng. Lancet Infect Dis 2020
33



COVID-19 open source data sets: a comprehensive survey.
Junaid Shuja, Eisa Alanazi, Waleed Alasmary, Abdulaziz Alashaikh. Appl Intell (Dordr) 2020
33
33


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
33

Lightweight deep learning models for detecting COVID-19 from chest X-ray images.
Stefanos Karakanis, Georgios Leontidis. Comput Biol Med 2021
16
33

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
33


Truncated inception net: COVID-19 outbreak screening using chest X-rays.
Dipayan Das, K C Santosh, Umapada Pal. Phys Eng Sci Med 2020
64
33

Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data.
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto. Int J Environ Res Public Health 2020
42
33

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh,[...]. Biomed Signal Process Control 2021
14
33

One-shot Cluster-Based Approach for the Detection of COVID-19 from Chest X-ray Images.
V N Manjunath Aradhya, Mufti Mahmud, D S Guru, Basant Agarwal, M Shamim Kaiser. Cognit Comput 2021
8
33

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey.
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
58
33



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
33

Diagnosis of COVID-19 using CT scan images and deep learning techniques.
Vruddhi Shah, Rinkal Keniya, Akanksha Shridharani, Manav Punjabi, Jainam Shah, Ninad Mehendale. Emerg Radiol 2021
19
33

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning.
Hammam Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz. Sensors (Basel) 2021
18
33


Machine learning for coronavirus covid-19 detection from chest x-rays.
Luca Brunese, Fabio Martinelli, Francesco Mercaldo, Antonella Santone. Procedia Comput Sci 2020
8
33

Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach.
Sara Hosseinzadeh Kassania, Peyman Hosseinzadeh Kassanib, Michal J Wesolowskic, Kevin A Schneidera, Ralph Detersa. Biocybern Biomed Eng 2021
18
33

Coronavirus disease 2019 (COVID-19): current status and future perspectives.
Heng Li, Shang-Ming Liu, Xiao-Hua Yu, Shi-Lin Tang, Chao-Ke Tang. Int J Antimicrob Agents 2020
319
16

Essentials for Radiologists on COVID-19: An Update-Radiology Scientific Expert Panel.
Jeffrey P Kanne, Brent P Little, Jonathan H Chung, Brett M Elicker, Loren H Ketai. Radiology 2020
303
16

Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission.
Xintian Xu, Ping Chen, Jingfang Wang, Jiannan Feng, Hui Zhou, Xuan Li, Wu Zhong, Pei Hao. Sci China Life Sci 2020
905
16

Artificial Intelligence in Medicine: Where Are We Now?
Sagar Kulkarni, Nuran Seneviratne, Mirza Shaheer Baig, Ameer Hamid Ahmed Khan. Acad Radiol 2020
38
16


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.