Honglin Wang

785 total citations
41 papers, 491 citations indexed

About

Honglin Wang is a scholar working on Biomedical Engineering, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Honglin Wang has authored 41 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Health Informatics and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Honglin Wang's work include Artificial Intelligence in Healthcare and Education (7 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Medical Imaging and Analysis (4 papers). Honglin Wang is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Medical Imaging and Analysis (4 papers). Honglin Wang collaborates with scholars based in China, Spain and United States. Honglin Wang's co-authors include Zhewei Ye, Pengran Liu, Tongtong Huo, Yi Xie, Jiayao Zhang, Songxiang Liu, Lin Lu, Qinggui Wang, Guoyong Yan and Binbin Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Plant and Soil.

In The Last Decade

Honglin Wang

34 papers receiving 477 citations

Peers

Honglin Wang
Comparison fields: 5 of 106
  • Computer Networks and Communications 115
  • Soil Science 99
  • Artificial Intelligence 85
  • Biomedical Engineering 81
  • Surgery 76
Replace Arvind Yadav with:
Arvind Yadav India
S. Prince Mary India
Xuan Xie China
Xukun Li China
Robert Hable Germany
Guanhua Zhang China
Yexing Li China
D. P. Pretschner Germany
Rahul Nijhawan India
Shu Ma China
Arvind Yadav India View profile →
Citations per field, relative to Honglin Wang
Honglin Wang · 1×
Citations per year, relative to Honglin Wang
Honglin Wang · 1×

Countries citing papers authored by Honglin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Honglin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Honglin Wang. A scholar is included among the top collaborators of Honglin Wang 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 Honglin Wang. Honglin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 5
5 1
6 1
7 1
8 2
9 0
10 1
11 12
12 3
13 1
14 16
15 14
16 11
17 16
18 33
19 52
20 9

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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