Jeffrey He

710 citations
10 papers · 147 · h-index 6

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Explainable Artificial Intelligence (XAI)
    • Adversarial Robustness in Machine Learning
    • Machine Learning in Healthcare

Papers in

Jeffrey He

10 papers receiving 143 citations

Peers

Jeffrey He
Comparison fields: 5 of 62
  • Health Informatics 18
  • Artificial Intelligence 53
  • Safety Research 11
  • Cognitive Neuroscience 24
  • Information Systems and Management 9
Replace Krishna Choudhary with:
Krishna Choudhary United States
Armin W. Thomas United States
Roberto Cordeschi Italy
Mijung Park United States
Konstantinos Lazaros Greece
Neha Verma United States
Jordan Matelsky United States
Suna Bensch Sweden
Chelsea Voss United States
Oliver Karras Germany
Jeffrey He relative to Krishna Choudhary United States Krishna Choudhary's profile →
Citations per field
00.5×4.5×
Krishna Choudhary · 1×
Citations per year

Countries citing papers authored by Jeffrey He

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201962
2 201729
3 201816
4 201515
5 201412
6 20195
7 20183
8 20232
9 20162
10 20181

About Jeffrey He

Jeffrey He is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Computer Networks and Communications, Molecular Biology and Occupational Therapy, having authored 10 papers that have together received 147 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers), EEG and Brain-Computer Interfaces (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Lung Cancer Research Studies (1 paper), Cloud Computing and Resource Management (1 paper), Safe Handling of Antineoplastic Drugs (1 paper) and Child and Adolescent Psychosocial and Emotional Development (1 paper). The work is most often cited by research in Health Informatics (18 citations), Artificial Intelligence (53 citations), Safety Research (11 citations), Cognitive Neuroscience (24 citations) and Information Systems and Management (9 citations). Jeffrey He has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Finale Doshi‐Velez, Emily Chen, Isaac Lage, Been Kim, Samuel J. Gershman, Bin He, Jianjun Meng, Dan Jiang, Cédric Westphal and Robert Harrod. Their work appears in journals such as Virology, IEEE Access, PLoS ONE, Oncotarget and PubMed.

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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