Ting Wei

4.0k citations
128 papers · 3.2k · h-index 31

Impact in

Papers in

Ting Wei

121 papers receiving 3.0k citations

Peers

Ting Wei
Comparison fields: 5 of 102
  • Modeling and Simulation 1.5k
  • Mathematical Physics 2.4k
  • Numerical Analysis 489
  • Mechanics of Materials 1.9k
  • Applied Mathematics 379
Replace Chu‐Li Fu with:
Chu‐Li Fu China
Diego A. Murio United States
Leevan Ling Hong Kong
Ulrich Tautenhahn Germany
Charles Tadjeran United States
Fazhan Geng China
Xinguang Zhang China
R. E. Showalter United States
Ülo Lepik Estonia
HongGuang Sun China
Ting Wei relative to Chu‐Li Fu China Chu‐Li Fu's profile →
Citations per field
00.5×3.7×
Chu‐Li Fu · 1×
Citations per year

Countries citing papers authored by Ting Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003183
2 2007161
3 2014144
4 201692
5 201387
6 200187
7 201786
8 201378
9 200577
10 201371
11 200171
12 201271
13 201070
14 201370
15 201867
16 200964
17 201646
18 200545
19 200939
20 200639

About Ting Wei

Ting Wei is a scholar working on Mathematical Physics, Mechanics of Materials, Modeling and Simulation, Numerical Analysis and Computational Theory and Mathematics, having authored 128 papers that have together received 3.2k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (96 papers), Numerical methods in engineering (73 papers), Fractional Differential Equations Solutions (55 papers), Thermoelastic and Magnetoelastic Phenomena (20 papers), Advanced Mathematical Modeling in Engineering (11 papers), Composite Material Mechanics (10 papers), Electromagnetic Scattering and Analysis (7 papers) and Hydrology and Drought Analysis (6 papers). The work is most often cited by research in Modeling and Simulation (1.5k citations), Mathematical Physics (2.4k citations), Numerical Analysis (489 citations), Mechanics of Materials (1.9k citations) and Applied Mathematics (379 citations). Ting Wei has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Y.C. Hon, Jungang Wang, Guang-Hui Zheng, Hai‐Hua Qin, Leevan Ling, Yun Zhang, Yubin Zhou, Masahiro Yamamoto, Jin Cheng and Jing Shen. Their work appears in journals such as Inverse Problems in Science and Engineering, Applied Mathematics and Computation, Engineering Analysis with Boundary Elements, Inverse Problems and Journal of Computational and Applied Mathematics.

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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