Su Wu

28 papers receiving 406 citations

Peers

Su Wu
Comparison fields: 5 of 93
  • Medical Laboratory Technology 23
  • Safety, Risk, Reliability and Quality 101
  • Software 38
  • Statistics, Probability and Uncertainty 55
  • Management Information Systems 62
Replace Thomas G. Yeung with:
Thomas G. Yeung France
Vicente González-Prida Spain
Jon Tømmerås Selvik Norway
M. Affan Badar United States
M.C. Eti Nigeria
Ulku Oktem United States
Mingshun Song China
Hanlin Liu China
Gopinath Chattopadhyay Australia
Suprakash Gupta India
Su Wu relative to Thomas G. Yeung France Thomas G. Yeung's profile →
Citations per field
00.5×
Thomas G. Yeung · 1×
Citations per year

Countries citing papers authored by Su Wu

Since Specialization
Citations

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

Fields of papers citing papers by Su Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200758
2 202246
3 202035
4 201128
5 200226
6 200924
7 202023
8 202121
9 200620
10 201320
11 201317
12 201415
13 201312
14 201410
15 201710
16 201310
17 20219
18 20118
19 20078
20 20117

About Su Wu

Su Wu is a scholar working on Safety, Risk, Reliability and Quality, Management Information Systems, Management Science and Operations Research, Electrical and Electronic Engineering and Software, having authored 31 papers that have together received 423 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (9 papers), Software Reliability and Analysis Research (5 papers), Statistical Distribution Estimation and Applications (4 papers), Sustainable Supply Chain Management (4 papers), Quality and Supply Management (4 papers), Healthcare Operations and Scheduling Optimization (3 papers), Advanced Queuing Theory Analysis (2 papers) and Scheduling and Timetabling Solutions (2 papers). The work is most often cited by research in Medical Laboratory Technology (23 citations), Safety, Risk, Reliability and Quality (101 citations), Software (38 citations), Statistics, Probability and Uncertainty (55 citations) and Management Information Systems (62 citations). Su Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Binfeng Li, Huiming Liu, Zhuoqi Zhang, Jianzhao Wang, Seung‐Chul Lee, Ying Liu, Mengyu Guo, Ran Jin, Jie Song and Jianjun Shi. Their work appears in journals such as International Journal of Systems Science, Computers & Industrial Engineering, Expert Systems with Applications, International Journal of Production Economics and International Journal of Industrial Ergonomics.

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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