Mark Lee

7.3k citations
213 papers · 5.3k · 1 hit paper · h-index 32

Impact in

Papers in

Mark Lee

192 papers receiving 5.1k citations

Mark Lee's Hit Papers

Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA 2020 · 1.1k citations
1.1k0+2+4Years since publication2505007501000

Peers

Mark Lee
Comparison fields: 5 of 199
  • Cancer Research 760
  • Condensed Matter Physics 440
  • Software 113
  • Artificial Intelligence 914
  • Oncology 579
Replace Zhiqiang Cai with:
Zhiqiang Cai China
James A. Glazier United States
Jianhua Yao United States
Makoto Yamada Japan
Shuhong Wang China
Heinz‐Otto Peitgen Germany
Mauricio Barahona United Kingdom
Keith W. Jones United States
David H. Laidlaw United States
András Czirók Hungary
Mark Lee relative to Zhiqiang Cai China Zhiqiang Cai's profile →
Citations per field
00.5×2×2.9×
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 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA
Hit paper breakdown →
20201052
2 2009371
3 1990325
4 2004282
5 2017236
6 2013138
7 2020111
8
Incremental Natural Actor-Critic Algorithms
2007110
9 201588
10 198986
11
SBVR Business Rules Generation from Natural Language Specification
201183
12 200275
13 200274
14 199570
15 200266
16 199666
17 201064
18 200962
19 201861
20 201061

About Mark Lee

Mark Lee is a scholar working on Artificial Intelligence, Condensed Matter Physics, Experimental and Cognitive Psychology, Software and Social Psychology, having authored 213 papers that have together received 5.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (29 papers), Physics of Superconductivity and Magnetism (19 papers), Sentiment Analysis and Opinion Mining (15 papers), Language, Metaphor, and Cognition (15 papers), Model-Driven Software Engineering Techniques (10 papers), Quantum and electron transport phenomena (9 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Cancer Research (760 citations), Condensed Matter Physics (440 citations), Software (113 citations), Artificial Intelligence (914 citations) and Oncology (579 citations). Mark Lee has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Mohammad Ghavamzadeh, Shalabh Bhatnagar, Richard Sutton, Imran Sarwar Bajwa, Behzad Bordbar, John A. Barnden, M. R. Beasley, Chang‐Beom Eom, S. C. Gausepohl and Satyajit K. Karnik. Their work appears in journals such as Applied Physics Letters, Journal of Orthopaedic Trauma, Proceedings of the National Academy of Sciences, Solid State Communications and BMJ Open.

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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