Chung‐Gang Li

631 citations
41 papers · 434 indexed · h-index 12
Topics
Fluid Dynamics and Turbulent Flows (22 papers)Computational Fluid Dynamics and Aerodynamics (19 papers)Nanofluid Flow and Heat Transfer (12 papers)
Partner nations
JapanTaiwanUnited States

In The Last Decade

Chung‐Gang Li

41 papers receiving 423 citations

Peers

Chung‐Gang Li
Comparison fields: 5 of 63
  • Computational Mechanics 252
  • Mechanical Engineering 144
  • Aerospace Engineering 130
  • Biomedical Engineering 109
  • Pulmonary and Respiratory Medicine 75
Replace Claudine Béghein with:
Claudine Béghein France
Pedro M. de Oliveira United Kingdom
Sebastian Burgmann Germany
Madhukar M. Rao United States
I. E. Barton United Kingdom
Alessandro Quintino Italy
Marzio Piller Italy
Giacomo Busco United States
Mohammad-Reza Pendar Portugal
Chung‐Gang Li relative to Claudine Béghein France Claudine Béghein's profile →
Citations per field
00.5×3.3×
Claudine Béghein · 1×
Citations per year

Countries citing papers authored by Chung‐Gang Li

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Gang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Gang Li. 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 Chung‐Gang Li. The network helps show where Chung‐Gang Li may publish in the future.

Co-authorship network of co-authors of Chung‐Gang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Gang Li. A scholar is included among the top collaborators of Chung‐Gang Li 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 Chung‐Gang Li. Chung‐Gang Li 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 3
2 1
3 8
4 9
5 4
6 1
7 4
8 2
9 4
10 36
11 7
12 9
13 8
14 10
15 6
16 17
17 10
18 25
19 2
20 15

About Chung‐Gang Li

Chung‐Gang Li is a scholar working on Computational Mechanics, Modeling and Simulation and Aerospace Engineering, having authored 41 papers that have together received 434 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (22 papers), Computational Fluid Dynamics and Aerodynamics (19 papers) and Nanofluid Flow and Heat Transfer (12 papers). The work is most often cited by research in Computational Mechanics (252 citations), Aerospace Engineering (130 citations) and Environmental Engineering (63 citations). Chung‐Gang Li has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Makoto Tsubokura, Wu‐Shung Fu, Rahul Bale, Akiyoshi IIDA, Niclas Jansson, Ryoichi Kurose, Keiji Onishi, Tsukasa Yoshinaga, Kazuhide Ito and Kazunori Nozaki. Their work appears in journals such as Scientific Reports, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

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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