Wu Li

2.0k citations
80 papers · 1.3k indexed · h-index 19

Impact in

Papers in

Wu Li

63 papers receiving 1.1k citations

Peers

Wu Li
Comparison fields: 5 of 108
  • Numerical Analysis 421
  • Computational Theory and Mathematics 492
  • Cognitive Neuroscience 333
  • Geometry and Topology 132
  • Mathematical Physics 83
Replace Michel Habib with:
Michel Habib France
Yi Shen China
K. I. Appel United States
Jun Mou China
Angelika Steger Switzerland
Stefan Langerman Belgium
Negar Kiyavash United States
Justin Ruths United States
Amir Globerson Israel
Stefan Arnborg Sweden
Wu Li relative to Michel Habib France Michel Habib's profile →
Citations per field
00.5×10×20×32.4×
Michel Habib · 1×
Citations per year

Countries citing papers authored by Wu Li

Since Specialization
Citations

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

Fields of papers citing papers by Wu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20240
5 20231
6 20230
7 202219
8 20220
9 20216
10 20155
11
Design and Realize of Information Service Platform Based on LBS and SNS
20121
12 20112
13
Research on Data Message Evidence under Chinese Electronic Signature Law
20081
14
Based on the Rational Rose Realize Stock Management System Modeling Design
20071
15
Study of Symbol Library Data Structure and Algorithm Based on Property Unit
20041
16 200128
17 199746
18 199626
19 19916
20 19893

About Wu Li

Wu Li is a scholar working on Numerical Analysis, Computational Mathematics, Computational Theory and Mathematics, Information Systems and Management Science and Operations Research, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (13 papers), Service-Oriented Architecture and Web Services (11 papers), Advanced Optimization Algorithms Research (10 papers), Multi-Criteria Decision Making (7 papers), Advanced Computational Techniques and Applications (5 papers), Software System Performance and Reliability (5 papers), Cloud Computing and Resource Management (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Numerical Analysis (421 citations), Computational Theory and Mathematics (492 citations), Cognitive Neuroscience (333 citations), Geometry and Topology (132 citations) and Mathematical Physics (83 citations). Wu Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Heinz H. Bauschke, Ivan Singer, Jonathan M. Borwein, Gerald Westheimer, Johan Tordsson, Frank Deutsch, Erik Elmroth, Odej Kao, C. Nahak and Wei‐Tek Tsai. Their work appears in journals such as SIAM Journal on Optimization, Journal of Approximation Theory, SIAM Journal on Control and Optimization, Software Practice and Experience and Vision Research.

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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