James Fan

2.7k citations
34 papers · 1.3k · 1 hit paper · h-index 14

Impact in

Papers in

James Fan

33 papers receiving 1.2k citations

James Fan's Hit Papers

Building Watson: An Overview of the DeepQA Project 2010 · 795 citations
7950+5+10Years since publication250500750

Peers

James Fan
Comparison fields: 5 of 126
  • Artificial Intelligence 918
  • Health Informatics 19
  • Information Systems 218
  • Computer Science Applications 51
  • Management Science and Operations Research 102
Replace Stephen H. Bach with:
Stephen H. Bach United States
Liang Gou United States
John Prager United States
Nico Schlaefer United States
Manolis Μaragoudakis Greece
Jennifer Chu‐Carroll United States
Chris Welty United States
Adam Lally United States
Augustin Chaintreau United States
Derek Sleeman United Kingdom
James Fan relative to Stephen H. Bach United States Stephen H. Bach's profile →
Citations per field
00.5×2.8×
Stephen H. Bach · 1×
Citations per year

Countries citing papers authored by James Fan

Since Specialization
Citations

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

Fields of papers citing papers by James Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Building Watson: An Overview of the DeepQA Project
Hit paper breakdown →
2010795
2 199994
3 202050
4
Learning by reading: a prototype system, performance baseline and lessons learned
200732
5 201231
6 200130
7
Relation Extraction with Relation Topics
201126
8 201426
9
A question-answering system for AP chemistry: assessing KR&R technologies
200424
10 200721
11 201119
12
PRISMATIC: Inducing Knowledge from a Large Scale Lexicalized Relation Resource
201017
13
The knowledge required to interpret noun compounds
200314
14
When Did that Happen? — Linking Events and Relations to Timestamps
201214
15 200211
16 20119
17
Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy
20119
18 20198
19 20058
20 20187

About James Fan

James Fan is a scholar working on Artificial Intelligence, Management Science and Operations Research, Safety Research, Management Information Systems and Signal Processing, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (19 papers), Semantic Web and Ontologies (10 papers), Experimental Behavioral Economics Studies (3 papers), Advanced Text Analysis Techniques (3 papers), Speech and dialogue systems (2 papers), Auction Theory and Applications (2 papers) and Supply Chain and Inventory Management (2 papers). The work is most often cited by research in Artificial Intelligence (918 citations), Health Informatics (19 citations), Information Systems (218 citations), Computer Science Applications (51 citations) and Management Science and Operations Research (102 citations). James Fan has collaborated with scholars based in United States, Italy and Hong Kong. Frequent co-authors include David Gondek, Aditya Kalyanpur, Jennifer Chu‐Carroll, David Ferrucci, Eric Nyberg, Nico Schlaefer, Chris Welty, Jaimie Murdock, Adam Lally and John Prager. Their work appears in journals such as Aquaculture Economics & Management, Production and Operations Management, Operations Research Letters, AI Magazine and Manufacturing & Service Operations Management.

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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