Jiangen He

27 papers receiving 376 citations

Peers

Jiangen He
Comparison fields: 5 of 118
  • Industrial and Manufacturing Engineering 85
  • Environmental Engineering 112
  • Statistics, Probability and Uncertainty 42
  • Health Informatics 7
  • Archeology 5
Replace Serkan Erbis with:
Serkan Erbis United States
Reid Bailey United States
Jie Geng China
Peng Mao China
Kuriakose Athappilly United States
K.H. Lam Hong Kong
Milad Zoghi Iran
Jingyu Yu China
Narimah Kasim Malaysia
Yoon-Soo Shin South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Jiangen He

Since Specialization
Citations

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

Fields of papers citing papers by Jiangen He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006116
2 201764
3 200650
4 202030
5 202225
6 201918
7 202015
8 202113
9 201811
10 201510
11 20238
12 20185
13 20235
14 20084
15 20223
16 20232
17 20182
18 20192
19
Myelotomy suppresses autophagic marker LC3-II expression and elevates mTORC1 expression and improves neurological function recovery in rats with spinal cord injury
20132
20 20231

About Jiangen He

Jiangen He is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 393 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (11 papers), Data Visualization and Analytics (5 papers), Advanced Text Analysis Techniques (5 papers), Misinformation and Its Impacts (4 papers), Complex Network Analysis Techniques (3 papers), Web visibility and informetrics (3 papers), Meta-analysis and systematic reviews (2 papers) and Data Analysis with R (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (85 citations), Environmental Engineering (112 citations), Statistics, Probability and Uncertainty (42 citations), Health Informatics (7 citations) and Archeology (5 citations). Jiangen He has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Chaomei Chen, Qing Ping, Roland Clift, Jakob P. Ley, Roland Geyer, Alan Kwan, Tim Jackson, Michael Sansom, Yuting Liao and Yongjun Zhu. Their work appears in journals such as Journal of the Association for Information Science and Technology, Resources Conservation and Recycling, Journal of Informetrics, Clinical Neurology and Neurosurgery and Scientometrics.

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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