James Lu

4.6k citations
128 papers · 3.3k · h-index 30

Impact in

Papers in

James Lu

118 papers receiving 3.2k citations

Peers

James Lu
Comparison fields: 5 of 171
  • Computational Mechanics 498
  • Computational Theory and Mathematics 358
  • Nuclear Energy and Engineering 9
  • Molecular Biology 1.2k
  • Health Informatics 22
Replace Thomas Sauer with:
Thomas Sauer Germany
Ke Chen China
Thomas E. Yankeelov United States
Weijie Su United States
Andreï Zinovyev France
Yin Zhang United States
Todd E. Peterson United States
Ryan Rifkin United States
C. Huard Canada
Yaohang Li United States
James Lu relative to Thomas Sauer Germany Thomas Sauer's profile →
Citations per field
00.5×
Thomas Sauer · 1×
Citations per year

Countries citing papers authored by James Lu

Since Specialization
Citations

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

Fields of papers citing papers by James Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005312
2 2005306
3 2005210
4 2009199
5 2004168
6 200989
7 202188
8 200783
9 200682
10 200968
11 199663
12 199562
13 200460
14 200459
15 201257
16 201655
17 200954
18 201154
19 202153
20 200451

About James Lu

James Lu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 128 papers that have together received 3.3k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (23 papers), Semantic Web and Ontologies (16 papers), 3D IC and TSV technologies (15 papers), Logic, programming, and type systems (12 papers), Statistical Methods in Clinical Trials (10 papers), Advanced Algebra and Logic (9 papers), RNA Interference and Gene Delivery (8 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Computational Mechanics (498 citations), Computational Theory and Mathematics (358 citations), Nuclear Energy and Engineering (9 citations), Molecular Biology (1.2k citations) and Health Informatics (22 citations). James Lu has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jianzhu Chen, David Darmofal, Mini Thomas, Alexander M. Klibanov, Qing Ge, Krzysztof Fidkowski, Todd Oliver, V. S. Subrahmanian, Róbert Langer and Chengcheng Zhang. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, Clinical and Translational Science, Journal of Automated Reasoning and SIAM Journal on Scientific Computing.

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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