Tianjun Wang

530 citations
23 papers · 371 · h-index 12

Impact in

Papers in

Tianjun Wang

21 papers receiving 354 citations

Peers

Tianjun Wang
Comparison fields: 5 of 80
  • Computer Graphics and Computer-Aided Design 64
  • Computational Mechanics 137
  • Computer Vision and Pattern Recognition 92
  • Environmental Engineering 42
  • Management, Monitoring, Policy and Law 27
Replace Yijing Li with:
Yijing Li China
Taeyong Kim South Korea
Mingjie Wang China
Dolors Ayala Spain
Quang Huy Vietnam
Craig M. Shakarji United States
Shengjun Liu China
Sanghoon Baek South Korea
Haoxiang Chen China
Tianjun Wang relative to Yijing Li China Yijing Li's profile →
Citations per field
00.5×2.7×
Yijing Li · 1×
Citations per year

Countries citing papers authored by Tianjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200146
2 201842
3 201941
4 202333
5 201931
6 200730
7 202328
8 200427
9 200326
10 199218
11 202314
12 200212
13 19977
14 20084
15 20233
16 20213
17 20192
18 20201
19 19981
20 20211

About Tianjun Wang

Tianjun Wang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Information Systems, having authored 23 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (8 papers), Computational Geometry and Mesh Generation (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), IoT and Edge/Fog Computing (2 papers), 3D Shape Modeling and Analysis (2 papers), Polynomial and algebraic computation (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Iterative Methods for Nonlinear Equations (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (64 citations), Computational Mechanics (137 citations), Computer Vision and Pattern Recognition (92 citations), Environmental Engineering (42 citations) and Management, Monitoring, Policy and Law (27 citations). Tianjun Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiquan Shi, Zhaijun Lu, Mu Zhong, Eihachiro Nakamae, Toru Yamamoto, Fengshan Liu, Daidou Guo, Chuan Qin, Dongxu Qi and Ruixia Song. Their work appears in journals such as Computer-Aided Design, Journal of Computational and Applied Mathematics, Computer Aided Geometric Design, Scientific Reports and Frontiers in Aging Neuroscience.

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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