J. Wang

62 papers receiving 2.4k citations

Peers

J. Wang
Comparison fields: 5 of 171
  • Statistics, Probability and Uncertainty 765
  • Radiological and Ultrasound Technology 250
  • Biomaterials 550
  • Ocean Engineering 625
  • Industrial and Manufacturing Engineering 231
Replace Jin Wang with:
Jin Wang China
Chengpeng Wan China
Hyunsoo Lee South Korea
Yiliu Liu Norway
Om Prakash Yadav United States
Nita Yodo United States
Kong Fah Tee United Kingdom
Yihai Fang Australia
Wenli Liu China
Qiang Feng China
J. Wang relative to Jin Wang China Jin Wang's profile →
Citations per field
00.5×1.5×2.2×
Jin Wang · 1×
Citations per year

Countries citing papers authored by J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000457
2 2021166
3 2009145
4 2012131
5 2012130
6 2009125
7 200697
8 201392
9 202289
10 201188
11 199684
12 201480
13 200173
14 201164
15 199762
16 200458
17 200257
18 200756
19 201351
20 201839

About J. Wang

J. Wang is a scholar working on Statistics, Probability and Uncertainty, Ocean Engineering, Mechanical Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Risk and Safety Analysis (26 papers), Maritime Navigation and Safety (14 papers), Structural Integrity and Reliability Analysis (11 papers), Maritime Ports and Logistics (7 papers), Multi-Criteria Decision Making (6 papers), Reliability and Maintenance Optimization (5 papers), Software Reliability and Analysis Research (5 papers) and Maritime Security and History (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (765 citations), Radiological and Ultrasound Technology (250 citations), Biomaterials (550 citations), Ocean Engineering (625 citations) and Industrial and Manufacturing Engineering (231 citations). J. Wang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Zaili Yang, Stephen Bonsall, Jianbo Yang, Ian Jenkinson, Alan Wall, Qihe Chen, Shengliang Zhang, Hongyun Lu, T. Ruxton and David P. Martin. Their work appears in journals such as Ocean Engineering, Reliability Engineering & System Safety, Risk Analysis, Expert Systems with Applications and Maritime Policy & 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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