Hoifung Poon

10.8k total citations · 3 hit papers
66 papers, 4.3k citations indexed

About

Hoifung Poon is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Hoifung Poon has authored 66 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 21 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Hoifung Poon's work include Topic Modeling (33 papers), Natural Language Processing Techniques (26 papers) and Biomedical Text Mining and Ontologies (17 papers). Hoifung Poon is often cited by papers focused on Topic Modeling (33 papers), Natural Language Processing Techniques (26 papers) and Biomedical Text Mining and Ontologies (17 papers). Hoifung Poon collaborates with scholars based in United States, United Kingdom and Singapore. Hoifung Poon's co-authors include Pedro Domingos, Kristina Toutanova, Tristan Naumann, Naoto Usuyama, Jianfeng Gao, Hao Cheng, 裕二 池谷, Robert Tinn, Xiaodong Liu and Michael Lucas and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Hoifung Poon

61 papers receiving 4.1k citations

Hit Papers

Domain-Specific Language Model Pretrai... 2015 2026 2018 2022 2021 2022 2015 250 500 750 1000

Peers

Hoifung Poon
Comparison fields: 5 of 167
  • Artificial Intelligence 3.3k
  • Molecular Biology 1.0k
  • Computer Vision and Pattern Recognition 389
  • Health Informatics 327
  • Management Science and Operations Research 297
Replace Donghyeon Kim with:
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Casimir A. Kulikowski United States
Cao Xiao United States
Hong Yu United States
Ce Zhang Switzerland
Tapio Salakoski Finland
Michal Rosen‐Zvi Israel
Kirk Roberts United States
Qingcai Chen China
Donghyeon Kim South Korea View profile →
Citations per field, relative to Hoifung Poon
Hoifung Poon · 1×
Citations per year, relative to Hoifung Poon
Hoifung Poon · 1×

Countries citing papers authored by Hoifung Poon

Since Specialization
Citations

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

Fields of papers citing papers by Hoifung Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hoifung Poon

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 5
3 2
4 2
5 4
6 72
7 4
8 14
9 2
10 74
11
Representing Text for Joint Embedding of Text and Knowledge Bases breakdown →
401
12
Grounded Unsupervised Semantic Parsing
48
13
Machine reading: a Killer app for statistical relational AI
12
14
Joint Inference for Knowledge Extraction from Biomedical Literature
76
15
Unsupervised Ontology Induction from Text
70
16
Machine Reading at the University of Washington
22
17
A general method for reducing the complexity of relational inference and its application to MCMC
48
18
Markov logic
42
19
Sound and efficient inference with probabilistic and deterministic dependencies
155
20
Upper Bounds of Dynamic Chromatic Number.
57

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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