Lingjun Ying

5.9k citations
8 papers · 3.7k indexed · 2 hit papers · h-index 4

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 detection and testing 2
    • Long-Term Effects of COVID-19 2

Lingjun Ying

6 papers receiving 3.6k citations

Hit Papers

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR 2020 · 2.2k citations
2.2k202020262022202450010001.5k2.0k

Peers

Lingjun Ying
Comparison fields: 5 of 127
  • Health Informatics 178
  • Infectious Diseases 2.2k
  • Radiology, Nuclear Medicine and Imaging 1.7k
  • Critical Care and Intensive Care Medicine 361
  • Neurology 808
Replace Heshui Shi with:
Heshui Shi China
Chenao Zhan China
Chong Chen China
Wenzhi Lv China
Zhenlu Yang China
Kunwei Li China
Xueyan Mei United States
Mingqian Huang United States
Adam Bernheim United States
Adam Jacobi United States
Lingjun Ying relative to Heshui Shi China Heshui Shi's profile →
Citations per field
00.5×1.5×
Heshui Shi · 1×
Citations per year

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

The 25 scholars most cited alongside Lingjun Ying, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lingjun Ying Line = papers co-authored together Lingjun Ying links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20250
2 20250
3 20232
4 20223
5
Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series
Hit paper breakdown →
20201497
6 202025
7
Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
Hit paper breakdown →
20202180
8 20113

About Lingjun Ying

Lingjun Ying is a scholar working on Infectious Diseases, Neurology, Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 8 papers that have together received 3.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 detection and testing (2 papers), Long-Term Effects of COVID-19 (2 papers), Cardiovascular Conditions and Treatments (1 paper), Advanced Steganography and Watermarking Techniques (1 paper), Wireless Power Transfer Systems (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (178 citations), Infectious Diseases (2.2k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Critical Care and Intensive Care Medicine (361 citations) and Neurology (808 citations). Lingjun Ying has collaborated with scholars based in China. Frequent co-authors include Jicheng Xie, Wenbin Ji, Yicheng Fang, Huangqi Zhang, Minjie Lin, Peipei Pang, Sheng Zhang, Xiaowei Xu, Kaijin Xu and Xiaoxin Wu. Their work appears in journals such as Radiology, BMJ, IEEE Transactions on Information Forensics and Security, International Immunopharmacology and Journal of Pediatric Surgery.

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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