Chin-Lung Wang

716 citations
22 papers · 324 indexed · h-index 9
Topics
Algebraic Geometry and Number Theory (14 papers)Advanced Algebra and Geometry (9 papers)Algebraic structures and combinatorial models (6 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Chin-Lung Wang

22 papers receiving 288 citations

Peers

Chin-Lung Wang
Comparison fields: 5 of 37
  • Geometry and Topology 203
  • Mathematical Physics 143
  • Applied Mathematics 99
  • Statistical and Nonlinear Physics 57
  • Nuclear and High Energy Physics 34
Replace V. M. Zakalyukin with:
V. M. Zakalyukin Russia
Vladimir Rubtsov France
Santiago R. Simanca United States
Victor V. Prasolov Russia
Howard Jacobowitz United States
Marco Brunella France
Klaus Wirthmüller Germany
Vladimir Dragović Serbia
V. V. Goryunov United Kingdom
V. Arnold Russia
Chin-Lung Wang relative to V. M. Zakalyukin Russia V. M. Zakalyukin's profile →
Citations per field
00.5×
V. M. Zakalyukin · 1×
Citations per year

Countries citing papers authored by Chin-Lung Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Lung Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin-Lung Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chin-Lung Wang. A scholar is included among the top collaborators of Chin-Lung Wang 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 Chin-Lung Wang. Chin-Lung Wang 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 2
2 15
3 4
4 5
5 5
6 5
7
Analytic continuations of quantum cohomology
1
8 21
9 28
10 84
11 5
12 13
13
Flops, motives and invariance of quantum rings
2
14 8
15 8
16 12
17 6
18 7
19 21
20 35

About Chin-Lung Wang

Chin-Lung Wang is a scholar working on Geometry and Topology, Mathematical Physics and Algebra and Number Theory, having authored 22 papers that have together received 324 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (14 papers), Advanced Algebra and Geometry (9 papers) and Algebraic structures and combinatorial models (6 papers). The work is most often cited by research in Geometry and Topology (203 citations), Mathematical Physics (143 citations) and Applied Mathematics (99 citations). Chin-Lung Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chang‐Shou Lin, Hui-Wen Lin, Ching-Li Chai, Y.-W. Peter Hong, Yao Dai and Brendan Hassett. Their work appears in journals such as Annals of Mathematics, Journal of Differential Geometry and International Mathematics Research Notices.

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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