James J. Lu

27 papers receiving 567 citations

Peers

James J. Lu
Comparison fields: 5 of 100
  • Computer Science Applications 284
  • Developmental and Educational Psychology 136
  • Software 29
  • Artificial Intelligence 129
  • Management Science and Operations Research 47
Replace Lucia Dettori with:
Lucia Dettori United States
Michael Thuné Sweden
Stephen R. Foster United States
Serge Autexier Germany
Kostas Vassilakis Greece
Vinayak Hegde India
Alexander O’Connor Ireland
Fiona McNeill United Kingdom
David H. Smith United States
Weihong Huang China
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Citations per field
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Citations per year

Countries citing papers authored by James J. Lu

Since Specialization
Citations

This map shows the geographic impact of James J. 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 J. 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 J. Lu more than expected).

Fields of papers citing papers by James J. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009178
2 2009128
3 200446
4
FRIL: A tool for comparative record linkage.
200839
5 200831
6 200531
7 200323
8 201719
9 199619
10 201718
11 200515
12 20189
13 20099
14 20147
15 20156
16 20053
17 20123
18 20083
19 20063
20 20013

About James J. Lu

James J. Lu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Signal Processing and Computational Theory and Mathematics, having authored 29 papers that have together received 604 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Advanced Database Systems and Queries (6 papers), Biomedical Text Mining and Ontologies (5 papers), Data Management and Algorithms (4 papers), Logic, Reasoning, and Knowledge (4 papers), Inhalation and Respiratory Drug Delivery (2 papers), Computability, Logic, AI Algorithms (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Computer Science Applications (284 citations), Developmental and Educational Psychology (136 citations), Software (29 citations), Artificial Intelligence (129 citations) and Management Science and Operations Research (47 citations). James J. Lu has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include George Fletcher, Li Xiong, Pawel Jurczyk, Janet D. Cragan, Fusheng Wang, Shuai Zheng, Zdenka Policova, A. W. Neumann, Laura M.Y. Yu and Kristian Aquilina. Their work appears in journals such as Colloids and Surfaces B Biointerfaces, Birth Defects Research Part A Clinical and Molecular Teratology, Medical Care, Journal of Pathology Informatics and Journal of Applied Physiology.

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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