Jin Wang

5.4k citations
157 papers · 4.4k · h-index 37

Impact in

Papers in

Jin Wang

151 papers receiving 4.3k citations

Peers

Jin Wang
Comparison fields: 5 of 162
  • Automotive Engineering 682
  • Mechanical Engineering 2.1k
  • Statistics, Probability and Uncertainty 378
  • Polymers and Plastics 561
  • Building and Construction 496
Replace Fausto Pedro Garcı́a Márquez with:
Fausto Pedro Garcı́a Márquez Spain
Chao Hu United States
Kong Fah Tee United Kingdom
Faizal Mustapha Malaysia
M. M. Rahman Malaysia
Hongyuan Fang China
Jianchun Li Australia
Shahrum Abdullah Malaysia
Jiyong Kim South Korea
Zhao‐Dong Xu China
Jin Wang relative to Fausto Pedro Garcı́a Márquez Spain Fausto Pedro Garcı́a Márquez's profile →
Citations per field
00.5×
Fausto Pedro Garcı́a Márquez · 1×
Citations per year

Countries citing papers authored by Jin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018213
2 2011205
3 2018177
4 2018163
5 2018157
6 2001138
7 2011113
8 2015106
9 2022105
10 2021102
11 2017100
12 2021100
13 202195
14 202294
15 200593
16 202282
17 202274
18 201469
19 202268
20 201966

About Jin Wang

Jin Wang is a scholar working on Mechanical Engineering, Automotive Engineering, Mechanics of Materials, Polymers and Plastics and Civil and Structural Engineering, having authored 157 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cellular and Composite Structures (25 papers), Additive Manufacturing and 3D Printing Technologies (25 papers), Innovations in Concrete and Construction Materials (12 papers), Advanced Materials and Mechanics (11 papers), Polymer composites and self-healing (9 papers), Metallurgy and Material Forming (8 papers), Risk and Safety Analysis (8 papers) and Multi-Criteria Decision Making (7 papers). The work is most often cited by research in Automotive Engineering (682 citations), Mechanical Engineering (2.1k citations), Statistics, Probability and Uncertainty (378 citations), Polymers and Plastics (561 citations) and Building and Construction (496 citations). Jin Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Zhang, Chunhui Wang, Yong Peng, Xiang Xu, Kui Wang, Song Yao, Tengteng Chen, Zaili Yang, Yisen Liu and T. Ruxton. Their work appears in journals such as Engineering Structures, Materials Science and Engineering A, Thin-Walled Structures, International Journal of Mechanical Sciences and Materials.

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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