Hang Wang

748 citations
32 papers · 512 · h-index 12

Impact in

Papers in

Hang Wang

28 papers receiving 500 citations

Peers

Hang Wang
Comparison fields: 5 of 69
  • Statistics, Probability and Uncertainty 133
  • Control and Systems Engineering 362
  • Aerospace Engineering 114
  • Ocean Engineering 48
  • Mechanical Engineering 103
Replace Xiange Tian with:
Xiange Tian United Kingdom
Chengdong Wang China
Emine Ayaz Türkiye
Xihui Liang China
Olivier Léonard Belgium
Ifigeneia Antoniadou United Kingdom
He Sun China
Dongik Lee South Korea
Shiyi Bao China
Allan J. Volponi United States
Hang Wang relative to Xiange Tian United Kingdom Xiange Tian's profile →
Citations per field
00.5×4.9×
Xiange Tian · 1×
Citations per year

Countries citing papers authored by Hang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019107
2 202057
3 202052
4 201748
5 202041
6 201831
7 201720
8 202418
9 202516
10 202116
11 201514
12 201613
13 202111
14 202310
15 20179
16 20238
17 20208
18 20257
19 20176
20 20254

About Hang Wang

Hang Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Statistics, Probability and Uncertainty, Aerospace Engineering and Artificial Intelligence, having authored 32 papers that have together received 512 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (22 papers), Risk and Safety Analysis (7 papers), Advanced Data Processing Techniques (6 papers), Mineral Processing and Grinding (6 papers), Nuclear Engineering Thermal-Hydraulics (5 papers), Machine Fault Diagnosis Techniques (5 papers), Nuclear reactor physics and engineering (3 papers) and Oil and Gas Production Techniques (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (133 citations), Control and Systems Engineering (362 citations), Aerospace Engineering (114 citations), Ocean Engineering (48 citations) and Mechanical Engineering (103 citations). Hang Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Minjun Peng, Yong-kuo Liu, Wei Li, B.R. Upadhyaya, J. Wesley Hines, Anwar Hussain, Yang Xu, Xin Wang, Abiodun Ayodeji and Peng Wu. Their work appears in journals such as Annals of Nuclear Energy, Progress in Nuclear Energy, Nuclear Engineering and Technology, Nuclear Engineering and Design and Science and Technology of Nuclear Installations.

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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