Sen Wu

6.0k citations
90 papers · 2.3k · 1 hit paper · h-index 20

Impact in

Papers in

Sen Wu

86 papers receiving 2.2k citations

Sen Wu's Hit Papers

Snorkel 2017 · 429 citations
4290+3+6Years since publication100200300400

Peers

Sen Wu
Comparison fields: 5 of 129
  • Artificial Intelligence 1.4k
  • Statistical and Nonlinear Physics 428
  • Information Systems 613
  • Management Science and Operations Research 250
  • Computer Vision and Pattern Recognition 330
Replace Xiaolong Jin with:
Xiaolong Jin China
Yanghua Xiao China
Kuansan Wang United States
Shou-De Lin Taiwan
Zhe Zhao China
Michael Schlichtkrull United Kingdom
Alex Beutel United States
Pasquale De Meo Italy
Xiangfeng Luo China
Panagiotis Symeonidis Greece
Sen Wu relative to Xiaolong Jin China Xiaolong Jin's profile →
Citations per field
00.5×1.5×1.8×
Xiaolong Jin · 1×
Citations per year

Countries citing papers authored by Sen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Snorkel
Hit paper breakdown →
2017429
2 2012245
3 2019222
4 2012210
5 2015162
6 2012103
7 201399
8
Data Programming: Creating Large Training Sets, Quickly.
201656
9
DeepDive: Declarative Knowledge Base Construction.
201653
10 201352
11 201651
12 201448
13 201645
14 201745
15 201438
16 201636
17 202025
18
Feature Engineering for Knowledge Base Construction.
201422
19 202019
20 202119

About Sen Wu

Sen Wu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Advanced Clustering Algorithms Research (10 papers), Recommender Systems and Techniques (9 papers), Data Mining Algorithms and Applications (8 papers), Radiation Detection and Scintillator Technologies (7 papers), Face and Expression Recognition (7 papers), Data Management and Algorithms (7 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Statistical and Nonlinear Physics (428 citations), Information Systems (613 citations), Management Science and Operations Research (250 citations) and Computer Vision and Pattern Recognition (330 citations). Sen Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jie Tang, Christopher Ré, Alexander Ratner, Jimeng Sun, Henry R. Ehrenberg, Stephen H. Bach, Jason Fries, Christopher De, Hang Su and Jaeho Shin. Their work appears in journals such as Tehnicki vjesnik - Technical Gazette, Journal of X-Ray Science and Technology, Proceedings of the VLDB Endowment, Knowledge-Based Systems and The VLDB Journal.

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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