Jingshan Huang

1.2k citations
69 papers · 742 indexed · 1 hit paper · h-index 14
Topics
Semantic Web and Ontologies (15 papers)Biomedical Text Mining and Ontologies (14 papers)Cancer-related molecular mechanisms research (11 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Jingshan Huang

67 papers receiving 716 citations

Hit Papers

The role of ChatGPT in scientific communication: writing ...2023202620242025202350100150

Peers

Jingshan Huang
Comparison fields: 5 of 114
  • Molecular Biology 291
  • Cancer Research 204
  • Artificial Intelligence 164
  • Health Informatics 140
  • Radiology, Nuclear Medicine and Imaging 60
Replace Markus Plass with:
Markus Plass Austria
Jean Louis Raisaro Switzerland
Weisong Liu United States
Claudia Mazo Ireland
Mert Yüksekgönül United States
Katie Ovens Canada
Ellery Wulczyn United States
Zhiyu Wan United States
Yashbir Singh United States
Sarthak Pati United States
Jingshan Huang relative to Markus Plass Austria Markus Plass's profile →
Citations per field
00.5×10×20×30×43×
Markus Plass · 1×
Citations per year

Countries citing papers authored by Jingshan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jingshan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingshan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingshan Huang. A scholar is included among the top collaborators of Jingshan Huang 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 Jingshan Huang. Jingshan Huang 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
#WorkIndexed citations
1 14
2 2
3 6
4 3
5 4
6 4
7 11
8 4
9 1
10 3
11 13
12 79
13 11
14 7
15 19
16 19
17 8
18 8
19 4
20 11

About Jingshan Huang

Jingshan Huang is a scholar working on Cancer Research, Health Informatics and Artificial Intelligence, having authored 69 papers that have together received 742 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (15 papers), Biomedical Text Mining and Ontologies (14 papers) and Cancer-related molecular mechanisms research (11 papers). The work is most often cited by research in Health Informatics (140 citations), Cancer Research (204 citations) and Computer Science Applications (28 citations). Jingshan Huang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ming Tan, Dejing Dou, Glen M. Borchert, Ran Xu, Kaiming Ren, Jungang Zhao, Jiangbo Dang, Hainan Yang, Michael N. Huhns and Yilin Chen. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.

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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