Xingjun Pi

438 citations
4 papers · 82 indexed · h-index 4

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 3
    • Epigenetics and DNA Methylation 1
    • Renal and related cancers 1
    • Genomics and Rare Diseases 1

Xingjun Pi

4 papers receiving 82 citations

Peers

Xingjun Pi
Comparison fields: 5 of 39
  • Information Systems and Management 15
  • Statistics, Probability and Uncertainty 8
  • Molecular Biology 53
  • Information Systems 15
  • Artificial Intelligence 21
Replace Aravind Venkatesan with:
Aravind Venkatesan United Kingdom
Irina Balaur Luxembourg
Phoebe M. Roberts United States
Allegra Via United Kingdom
Tom Gillespie United States
Laura Adam United States
Liju Fan United States
Ahmad Zyoud United Kingdom
Peter Eckmann United States
Shicai Wang United Kingdom
Xingjun Pi relative to Aravind Venkatesan United Kingdom Aravind Venkatesan's profile →
Citations per field
00.5×
Aravind Venkatesan · 1×
Citations per year

Countries citing papers authored by Xingjun Pi

Since Specialization
Citations

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

Fields of papers citing papers by Xingjun Pi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Xingjun Pi, 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 Xingjun Pi Line = papers co-authored together Xingjun Pi links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 201535
2 201725
3 201513
4 20129

About Xingjun Pi

Xingjun Pi is a scholar working on Molecular Biology, Genetics, Information Systems, Information Systems and Management and Artificial Intelligence, having authored 4 papers that have together received 82 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Advanced Text Analysis Techniques (1 paper), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper), Scientific Computing and Data Management (1 paper), Genomics and Rare Diseases (1 paper), Topic Modeling (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Information Systems and Management (15 citations), Statistics, Probability and Uncertainty (8 citations), Molecular Biology (53 citations), Information Systems (15 citations) and Artificial Intelligence (21 citations). Xingjun Pi has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Johanna McEntyre, Şenay Kafkas, Jee-Hyub Kim, Richard Baldock, Aravind Venkatesan, Bruce J. Aronow, Frances Rogers, Jane Brennan, Jamie A. Davies and Duncan Davidson. Their work appears in journals such as Journal of Biomedical Semantics, Nucleic Acids Research and Methods in molecular biology.

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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