Fei Meng

594 citations
18 papers · 420 · h-index 11

Impact in

    • Surgical site infection prevention
    • Cervical and Thoracic Myelopathy
    • Orthopedic Infections and Treatments
    • HIV/AIDS Research and Interventions

Papers in

Fei Meng

17 papers receiving 415 citations

Peers

Fei Meng
Comparison fields: 5 of 76
  • Surgery 161
  • Infectious Diseases 59
  • Pathology and Forensic Medicine 43
  • Virology 8
  • General Health Professions 38
Replace Chelsea E. Canan with:
Chelsea E. Canan United States
Chung-Yeh Deng Taiwan
Marco Roversi Italy
Zikret Köseoğlu Türkiye
Haile Woldie Ethiopia
Rebecca Filipowicz United States
Abubakar Mohammed Jibo Nigeria
Michael McCarthy United States
Edna Majaliwa Tanzania
Edmond S. Malka United States
Fei Meng relative to Chelsea E. Canan United States Chelsea E. Canan's profile →
Citations per field
00.5×2.8×
Chelsea E. Canan · 1×
Citations per year

Countries citing papers authored by Fei Meng

Since Specialization
Citations

This map shows the geographic impact of Fei Meng'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 Fei Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Meng more than expected).

Fields of papers citing papers by Fei Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Meng. 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 Fei Meng. The network helps show where Fei Meng may publish in the future.

Co-authors

The 25 scholars most cited alongside Fei Meng, 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 Fei Meng Line = papers co-authored together Fei Meng links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2015100
2 201655
3 201354
4 201248
5 201743
6 201824
7 202222
8 201317
9 201515
10 202213
11 202110
12 20227
13 20225
14 20243
15 20252
16 20161
17 20161
18 20160

About Fei Meng

Fei Meng is a scholar working on Surgery, Artificial Intelligence, Rheumatology, Management Science and Operations Research and Infectious Diseases, having authored 18 papers that have together received 420 indexed citations. Recurring topics across this work include Diverse Interdisciplinary Research Innovations (2 papers), Surgical site infection prevention (2 papers), Cognitive Science and Mapping (2 papers), Rheumatoid Arthritis Research and Therapies (1 paper), HIV/AIDS Research and Interventions (1 paper), HIV/AIDS drug development and treatment (1 paper), Engineering Education and Technology (1 paper) and Spinal Hematomas and Complications (1 paper). The work is most often cited by research in Surgery (161 citations), Infectious Diseases (59 citations), Pathology and Forensic Medicine (43 citations), Virology (8 citations) and General Health Professions (38 citations). Fei Meng has collaborated with scholars based in China, South Africa and Belgium. Frequent co-authors include Junming Cao, Xianzhong Meng, Lingde Kong, Wim Delva, Zhao Liu, Yong Shen, Niel Hens, Marleen Temmerman, Roxanne Beauclair and Alex Welte. Their work appears in journals such as Journal of Clinical Nursing, Journal of the International AIDS Society, BMC Medical Research Methodology, Medicine and International Journal of Nursing Studies.

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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