Bing Ma

2.7k citations
85 papers · 1.9k indexed · 2 hit papers · h-index 20

Impact in

Papers in

Bing Ma

79 papers receiving 1.9k citations

Hit Papers

Nitric Oxide: Physiological Functions, Delivery, and Biomedical Applications 2023 · 297 citations
2972000202620082017100200300400500

Peers

Bing Ma
Comparison fields: 5 of 152
  • Rehabilitation 171
  • Emergency Medical Services 111
  • Pulmonary and Respiratory Medicine 431
  • Physiology 286
  • Nephrology 63
Replace Juan Chen with:
Juan Chen China
John F. O’Brien United States
Olaf Dirsch Germany
Peter Hufnagl Germany
Hakan Oral United States
Shuji Suzuki Japan
Youngchul Kim United States
Mario Medvedovic United States
Limei Zhou China
Cheng‐Hsien Chen Taiwan
Bing Ma relative to Juan Chen China Juan Chen's profile →
Citations per field
00.5×4.0×
Juan Chen · 1×
Citations per year

Countries citing papers authored by Bing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20257
3 20242
4
Nitric Oxide: Physiological Functions, Delivery, and Biomedical Applications
Hit paper breakdown →
2023297
5 20215
6 202116
7 201710
8 201519
9 201332
10 20119
11 201114
12 201061
13 201053
14 200927
15 200926
16 200953
17 20092
18 20096
19 200717
20
Parametric And Nonparametric Approaches For Multisensor Data Fusion
20017

About Bing Ma

Bing Ma is a scholar working on Rehabilitation, Dermatology, Epidemiology, Media Technology and Emergency Medical Services, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wound Healing and Treatments (14 papers), Burn Injury Management and Outcomes (11 papers), Topic Modeling (6 papers), Dermatologic Treatments and Research (6 papers), Surgical Sutures and Adhesives (5 papers), Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Rehabilitation (171 citations), Emergency Medical Services (111 citations), Pulmonary and Respiratory Medicine (431 citations), Physiology (286 citations) and Nephrology (63 citations). Bing Ma has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Robert Homer, Jack A. Elias, Zhou Zhu, Harold A. Chapman, Tao Zheng, Steven D. Shapiro, Richard J. Riese, Zhongde Wang, Alfred O. Hero and Zhaofan Xia. Their work appears in journals such as Burns, Journal of Burn Care & Research, Journal of Separation Science, Remote Sensing and PLoS ONE.

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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