Hugh Chen

10.4k citations
10 papers · 5.8k · 2 hit papers · h-index 7

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Explainable Artificial Intelligence (XAI)
    • Machine Learning in Healthcare
    • Machine Learning and Data Classification

Papers in

    • Explainable Artificial Intelligence (XAI) 3
    • Bayesian Modeling and Causal Inference 2
    • Machine Learning in Healthcare 2
    • Machine Learning and Data Classification 2
    • Gene expression and cancer classification 1

Hugh Chen

8 papers receiving 5.7k citations

Hugh Chen's Hit Papers

Algorithms to estimate Shapley value feature attributions 2023 · 232 citations
2320+2+4Years since publication10002.0k3.0k4.0k5.0k

Peers

Hugh Chen
Comparison fields: 5 of 211
  • Health Informatics 136
  • Artificial Intelligence 1.2k
  • Environmental Engineering 468
  • Health Information Management 109
  • Global and Planetary Change 460
Replace Gabriel Erion with:
Gabriel Erion United States
Nisha Bansal United States
Alex J. DeGrave United States
Jordan M. Prutkin United States
Ronit Katz United States
Scott Lundberg United States
Bala G. Nair United States
Anne‐Laure Boulesteix Germany
Su‐In Lee United States
Weidong Ma China
Hugh Chen relative to Gabriel Erion United States Gabriel Erion's profile →
Citations per field
00.5×1.5×
Gabriel Erion · 1×
Citations per year

Countries citing papers authored by Hugh Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hugh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Hugh Chen, 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 Hugh Chen Line = papers co-authored together Hugh Chen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
From local explanations to global understanding with explainable AI for trees
Hit paper breakdown →
20205234
2
Algorithms to estimate Shapley value feature attributions
Hit paper breakdown →
2023232
3 2022138
4 202262
5 202342
6 202336
7 202135
8 20243
9 20250
10 20250

About Hugh Chen

Hugh Chen is a scholar working on Artificial Intelligence, Molecular Biology, Aerospace Engineering, Surgery and Oceanography, having authored 10 papers that have together received 5.8k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (3 papers), Bayesian Modeling and Causal Inference (2 papers), Machine Learning in Healthcare (2 papers), Machine Learning and Data Classification (2 papers), Gene expression and cancer classification (1 paper), Healthcare Technology and Patient Monitoring (1 paper), Spacecraft Design and Technology (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Health Informatics (136 citations), Artificial Intelligence (1.2k citations), Environmental Engineering (468 citations), Health Information Management (109 citations) and Global and Planetary Change (460 citations). Hugh Chen has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Su‐In Lee, Scott Lundberg, Gabriel Erion, Alex J. DeGrave, Jordan M. Prutkin, Ronit Katz, Bala G. Nair, Jonathan Himmelfarb, Nisha Bansal and Ian Covert. Their work appears in journals such as Nature Machine Intelligence, Nature Communications, npj Digital Medicine, Acta Astronautica and The Lancet Healthy Longevity.

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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