Tianjun Wang

538 citations
22 papers · 382 · h-index 12

Impact in

Papers in

Tianjun Wang

21 papers receiving 370 citations

Peers

Tianjun Wang
Comparison fields: 5 of 80
  • Computer Graphics and Computer-Aided Design 65
  • Computational Mechanics 137
  • Computer Vision and Pattern Recognition 97
  • Environmental Engineering 42
  • Management, Monitoring, Policy and Law 28
Replace Taeyong Kim with:
Taeyong Kim South Korea
Quang Huy Vietnam
Craig M. Shakarji United States
Dolors Ayala Spain
Shengjun Liu China
Haoxiang Chen China
Haisong Liu China
B. Patzák Czechia
Nikolaos N. Vlassis United States
Tianjun Wang relative to Taeyong Kim South Korea Taeyong Kim's profile →
Citations per field
00.5×3.5×
Taeyong Kim · 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200146
2 201943
3 201842
4 202338
5 201933
6 200730
7 202329
8 200427
9 200326
10 199218
11 202315
12 200212
13 19977
14 20084
15 20233
16 20213
17 20192
18 20251
19 19981
20 20201

About Tianjun Wang

Tianjun Wang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Numerical Analysis, having authored 22 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (8 papers), Computational Geometry and Mesh Generation (3 papers), Iterative Methods for Nonlinear Equations (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Digital Media Forensic Detection (2 papers), 3D Shape Modeling and Analysis (2 papers), IoT and Edge/Fog Computing (2 papers) and Polynomial and algebraic computation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (65 citations), Computational Mechanics (137 citations), Computer Vision and Pattern Recognition (97 citations), Environmental Engineering (42 citations) and Management, Monitoring, Policy and Law (28 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, Daidou Guo, Chuan Qin, Hui Ma, Dongxu Qi and Fengshan Liu. Their work appears in journals such as Computer Aided Geometric Design, Journal of Computational and Applied Mathematics, Computer-Aided Design, Neurocomputing and Journal of Visual Communication and Image Representation.

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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