Jiang‐Ren Chang

973 citations
73 papers · 830 indexed · h-index 17

Jiang‐Ren Chang

71 papers receiving 761 citations

Peers

Jiang‐Ren Chang
Comparison fields: 5 of 64
  • Mechanics of Materials 288
  • Mathematical Physics 265
  • Mechanical Engineering 253
  • Computational Mechanics 199
  • Biomedical Engineering 187
Replace Petr N. Vabishchevich with:
Petr N. Vabishchevich Russia
Thanh Tran Australia
Kai Yang China
Po-Wei Li China
Fredrik Berntsson Sweden
Carlos J.S. Alves Portugal
L. Debnath United States
C.S. Chen United States
Chieh‐Sen Huang Taiwan
Franck Boyer France
Jiang‐Ren Chang relative to Petr N. Vabishchevich Russia Petr N. Vabishchevich's profile →
Citations per field
00.5×3.5×
Petr N. Vabishchevich · 1×
Citations per year

Countries citing papers authored by Jiang‐Ren Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jiang‐Ren Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiang‐Ren Chang. 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 Jiang‐Ren Chang. The network helps show where Jiang‐Ren Chang may publish in the future.

Co-authorship network of co-authors of Jiang‐Ren Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang‐Ren Chang. A scholar is included among the top collaborators of Jiang‐Ren Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiang‐Ren Chang. Jiang‐Ren Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 7
5 15
6 6
7 16
8 16
9 7
10 9
11 19
12 13
13 10
14
Engineering Analysis with Boundary Elements
1
15 2
16 9
17 1
18
Numerical Instability of the Direct Trefftz Method for Laplace Problems in a 2D Finite Domain
11
19 30
20 3

About Jiang‐Ren Chang

Jiang‐Ren Chang is a scholar working on Mathematical Physics, Modeling and Simulation and Numerical Analysis, having authored 73 papers that have together received 830 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (24 papers), Numerical methods in engineering (24 papers) and Heat Transfer Mechanisms (9 papers). The work is most often cited by research in Mathematical Physics (265 citations), Modeling and Simulation (136 citations) and Numerical Analysis (153 citations). Jiang‐Ren Chang has collaborated with scholars based in Taiwan, China and Sweden. Frequent co-authors include Chein‐Shan Liu, Chih‐Wen Chang, Han-Taw Chen, Chung-Lun Kuo, Weichung Yeih, Chih-Li Chen, Han-Taw Chen, Shyh‐Rong Kuo, S. R. Kuo and Pei-Yu Lin. Their work appears in journals such as International Journal of Heat and Mass Transfer, International Journal for Numerical Methods in Engineering and Journal of Sound and Vibration.

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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