Jiachen Yang

578 total citations
18 papers, 140 citations indexed

About

Jiachen Yang is a scholar working on Artificial Intelligence, Biomedical Engineering and Surgery. According to data from OpenAlex, Jiachen Yang has authored 18 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Biomedical Engineering and 3 papers in Surgery. Recurrent topics in Jiachen Yang's work include Reinforcement Learning in Robotics (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Software Engineering Research (2 papers). Jiachen Yang is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Software Engineering Research (2 papers). Jiachen Yang collaborates with scholars based in China, United States and Japan. Jiachen Yang's co-authors include Hongyuan Zha, Brenden K. Petersen, Daniel Faissol, Gary An, Chase Cockrell, Will Grathwohl, Huan Xu, Rakshit Trivedi, Jiayu Chen and Yin Ding and has published in prestigious journals such as ACS Applied Materials & Interfaces, Ageing Research Reviews and Advanced Healthcare Materials.

In The Last Decade

Jiachen Yang

17 papers receiving 135 citations

Peers

Jiachen Yang
Comparison fields: 5 of 75
  • Artificial Intelligence 33
  • Biomedical Engineering 31
  • Molecular Biology 24
  • Information Systems 21
  • Pathology and Forensic Medicine 19
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Citations per field, relative to Jiachen Yang
Jiachen Yang · 1×
Citations per year, relative to Jiachen Yang
Jiachen Yang · 1×

Countries citing papers authored by Jiachen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiachen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiachen Yang

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 2
2 2
3 1
4 1
5 2
6 8
7 17
8 2
9 0
10
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
10
11
Single Episode Policy Transfer in Reinforcement Learning
3
12 34
13
Fake News Mitigation via Point Process Based Intervention
15
14
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations.
9
15 14
16 4
17 8
18 8

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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