Congshan Wu

878 citations
20 papers · 696 · h-index 13

Impact in

Papers in

Congshan Wu

19 papers receiving 689 citations

Peers

Congshan Wu
Comparison fields: 5 of 76
  • Safety, Risk, Reliability and Quality 535
  • Software 205
  • Statistics, Probability and Uncertainty 260
  • Automotive Engineering 113
  • Statistics and Probability 70
Replace Hongda Gao with:
Hongda Gao China
Qiuzhuang Sun Singapore
Yiming Chen China
Rui Zheng China
Mayank Pandey Canada
Suzan Alaswad United Arab Emirates
David Elmakis Israel
Jingyuan Shen China
Rómulo I. Zequeira France
Congshan Wu relative to Hongda Gao China Hongda Gao's profile →
Citations per field
00.5×2.7×
Hongda Gao · 1×
Citations per year

Countries citing papers authored by Congshan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Congshan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Congshan 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 Congshan Wu Line = papers co-authored together Congshan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201894
2 202076
3 201660
4 202057
5 202154
6 202250
7 202042
8 202340
9 202239
10 202139
11 202337
12 202135
13 202134
14 202312
15 202012
16 20259
17 20223
18 20232
19 20251
20 20250

About Congshan Wu

Congshan Wu is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Software, Automotive Engineering and Mechanical Engineering, having authored 20 papers that have together received 696 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (16 papers), Risk and Safety Analysis (8 papers), Software Reliability and Analysis Research (7 papers), Advanced Battery Technologies Research (4 papers), Probabilistic and Robust Engineering Design (3 papers), Power System Reliability and Maintenance (3 papers), Minerals Flotation and Separation Techniques (2 papers) and Fluid Dynamics and Mixing (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (535 citations), Software (205 citations), Statistics, Probability and Uncertainty (260 citations), Automotive Engineering (113 citations) and Statistics and Probability (70 citations). Congshan Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xian Zhao, Xiaoyue Wang, Siqi Wang, Jinglei Sun, Rong Pan, Qingan Qiu, Yanbo Song, Cong Lin, Jianxia Ma and Yunliang Sun. Their work appears in journals such as Reliability Engineering & System Safety, Computers & Industrial Engineering, Engineering Applications of Artificial Intelligence, Journal of Molecular Liquids and Energy Sources Part A Recovery Utilization and Environmental Effects.

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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