Hang Lin

1.3k citations
30 papers · 129 · h-index 7

Impact in

Papers in

Hang Lin

22 papers receiving 128 citations

Peers

Hang Lin
Comparison fields: 5 of 59
  • Pathology and Forensic Medicine 35
  • Internal Medicine 7
  • Rehabilitation 12
  • Psychiatry and Mental health 21
  • Biological Psychiatry 3
Replace Zahari Zahariev with:
Zahari Zahariev Bulgaria
Jason Jin China
Jin Cao China
О.Н. Иванова Russia
Roberto Pirani Italy
Maria Saleem Pakistan
Yuanzhen Chen China
Jun Kishihara Japan
John E. Paulseth Canada
Jiarui Mi China
Hang Lin relative to Zahari Zahariev Bulgaria Zahari Zahariev's profile →
Citations per field
00.5×
Zahari Zahariev · 1×
Citations per year

Countries citing papers authored by Hang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201121
2 201318
3 202311
4 202310
5 20169
6 20247
7 20236
8 20236
9 20206
10 20235
11 20165
12 20235
13 20245
14 20244
15 20232
16 20242
17 20242
18 20241
19 20241
20 20241

About Hang Lin

Hang Lin is a scholar working on Surgery, Computer Networks and Communications, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 129 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Network Security and Intrusion Detection (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Acute Ischemic Stroke Management (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Liver physiology and pathology (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (35 citations), Internal Medicine (7 citations), Rehabilitation (12 citations), Psychiatry and Mental health (21 citations) and Biological Psychiatry (3 citations). Hang Lin has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Min Lin, Xiaoping Cui, Jin Fan, Lin Zhao, Lei Wu, Zhefeng Meng, Jianpeng Chen, Kaitao Wang, Dingsheng Lin and Yi Lin. Their work appears in journals such as International Immunopharmacology, BMC Musculoskeletal Disorders, Ecotoxicology and Environmental Safety, Toxins and International Journal of 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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