Lingjun Ying

5.9k total citations · 2 hit papers
8 papers, 3.7k citations indexed

About

Lingjun Ying is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Lingjun Ying has authored 8 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 2 papers in Neurology and 2 papers in Epidemiology. Recurrent topics in Lingjun Ying's work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers) and SARS-CoV-2 detection and testing (2 papers). Lingjun Ying is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers) and SARS-CoV-2 detection and testing (2 papers). Lingjun Ying collaborates with scholars based in China. Lingjun Ying's co-authors include Wenbin Ji, Yicheng Fang, Peipei Pang, Jicheng Xie, Minjie Lin, Huangqi Zhang, Sheng Zhang, Yunqing Qiu, Lanjuan Li and Jifang Sheng and has published in prestigious journals such as Radiology, BMJ and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Lingjun Ying

6 papers receiving 3.6k citations

Hit Papers

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR 2020 2026 2022 2024 2020 2020 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lingjun Ying China 4 2.2k 1.7k 808 621 422 8 3.7k
Heshui Shi China 10 1.8k 0.8× 1.5k 0.9× 783 1.0× 471 0.8× 408 1.0× 25 3.3k
Chenao Zhan China 10 2.2k 1.0× 2.5k 1.5× 639 0.8× 843 1.4× 608 1.4× 15 4.4k
Xiaoyu Han China 22 2.2k 1.0× 1.4k 0.8× 1.2k 1.5× 622 1.0× 246 0.6× 147 4.4k
Xueyan Mei United States 10 2.1k 0.9× 2.5k 1.5× 690 0.9× 608 1.0× 508 1.2× 29 4.0k
Chong Chen China 8 2.0k 0.9× 2.4k 1.4× 463 0.6× 787 1.3× 596 1.4× 12 4.0k
Wenzhi Lv China 5 1.9k 0.9× 2.4k 1.4× 431 0.5× 782 1.3× 585 1.4× 7 3.9k
Lian Yang China 19 1.7k 0.8× 1.3k 0.7× 842 1.0× 599 1.0× 147 0.3× 71 3.5k
Yanqing Fan China 10 2.2k 1.0× 1.2k 0.7× 1.2k 1.5× 563 0.9× 173 0.4× 16 3.4k
Nanchuan Jiang China 7 1.8k 0.8× 1.0k 0.6× 920 1.1× 459 0.7× 166 0.4× 16 2.9k
Mingqian Huang United States 16 2.3k 1.0× 2.9k 1.7× 833 1.0× 699 1.1× 550 1.3× 45 4.7k

Countries citing papers authored by Lingjun Ying

Since Specialization
Citations

This map shows the geographic impact of Lingjun Ying's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lingjun Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjun Ying more than expected).

Fields of papers citing papers by Lingjun Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingjun Ying. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lingjun Ying. The network helps show where Lingjun Ying may publish in the future.

Co-authorship network of co-authors of Lingjun Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Lingjun Ying. A scholar is included among the top collaborators of Lingjun Ying based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lingjun Ying. Lingjun Ying is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Ying, Lingjun, et al.. (2025). Generative Collision Attack on Deep Image Hashing. IEEE Transactions on Information Forensics and Security. 20. 2748–2762.
2.
Liu, Xiwang, Xicheng Zhang, Xiangming Fan, et al.. (2025). Robotic-Assisted Patent Ductus Arteriosus Ligation in Children. Journal of Pediatric Surgery. 60(12). 162567–162567.
3.
Zheng, Yufen, Jing Wang, Tao‐Hsin Tung, et al.. (2023). Efficacy of the neutralizing antibodies after the booster dose on SARS-CoV-2 Omicron variant and a two-year longitudinal antibody study on Wild Type convalescents. International Immunopharmacology. 119. 110151–110151. 2 indexed citations
4.
Chen, Mengyuan, Lingjun Ying, Tao‐Hsin Tung, et al.. (2022). Clinical practice of rapid antigen tests for SARS-CoV-2 Omicron variant: A single-center study in China. Virologica Sinica. 37(6). 842–849. 3 indexed citations
5.
Xu, Xiaowei, Xiaoxin Wu, Xiangao Jiang, et al.. (2020). Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series. BMJ. 368. m606–m606. 1497 indexed citations breakdown →
6.
Zhang, Chao, Xiaodan Wang, Xi Chen, et al.. (2020). Clinical characteristics of 60 discharged cases of 2019 novel coronavirus-infected pneumonia in Taizhou, China. Annals of Translational Medicine. 8(8). 547–547. 25 indexed citations
7.
Fang, Yicheng, Huangqi Zhang, Jicheng Xie, et al.. (2020). Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR. Radiology. 296(2). E115–E117. 2180 indexed citations breakdown →
8.
Jia, Hongyu, Wei Lu, Lin Zheng, Lingjun Ying, & Yida Yang. (2011). [Efficacy of lamivudine monotherapy and combination therapy with adefovir dipivoxil for patients with hepatitis B virus-related decompensated cirrhosis].. PubMed. 19(2). 84–7. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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