Mark Lee

171 papers receiving 3.5k citations

Peers

Mark Lee
Comparison fields: 5 of 193
  • Condensed Matter Physics 420
  • Artificial Intelligence 684
  • Software 66
  • Earth-Surface Processes 102
  • Electronic, Optical and Magnetic Materials 256
Replace Zhiqiang Cai with:
Zhiqiang Cai China
Ivan Lee Australia
Bin Lin China
Jae Yong Lee South Korea
Makoto Yamada Japan
Hailin Li China
Hiroyuki Satō Japan
Taeho Jo Japan
Bo Li China
Ian Johnson United Kingdom
Mark Lee relative to Zhiqiang Cai China Zhiqiang Cai's profile →
Citations per field
00.5×10×12.8×
Zhiqiang Cai · 1×
Citations per year

Countries citing papers authored by Mark Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009339
2 1990289
3 2004270
4 2017191
5 2013117
6 202090
7
Incremental Natural Actor-Critic Algorithms
200788
8 198980
9 201579
10 200270
11 200269
12 199568
13 199666
14 200264
15 201062
16 201856
17 199956
18 200955
19 199054
20
SBVR Business Rules Generation from Natural Language Specification
201149

About Mark Lee

Mark Lee is a scholar working on Software, Condensed Matter Physics, Artificial Intelligence, Experimental and Cognitive Psychology and Communication, having authored 189 papers that have together received 3.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (25 papers), Topic Modeling (25 papers), Physics of Superconductivity and Magnetism (19 papers), Language, Metaphor, and Cognition (12 papers), Sentiment Analysis and Opinion Mining (10 papers), Quantum and electron transport phenomena (9 papers), Semantic Web and Ontologies (8 papers) and Speech and dialogue systems (7 papers). The work is most often cited by research in Condensed Matter Physics (420 citations), Artificial Intelligence (684 citations), Software (66 citations), Earth-Surface Processes (102 citations) and Electronic, Optical and Magnetic Materials (256 citations). Mark Lee has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Shalabh Bhatnagar, Mohammad Ghavamzadeh, Richard Sutton, M. R. Beasley, Chang‐Beom Eom, Behzad Bordbar, S. C. Gausepohl, Imran Sarwar Bajwa, John A. Barnden and Kye Won Park. Their work appears in journals such as Physical review. B, Condensed matter, Applied Physics Letters, Metaphor and Symbol, Journal of Clinical Oncology and Journal of Orthopaedic Trauma.

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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