Gang Cai

105 total papers · 694 total citations
81 papers, 498 citations indexed

About

Gang Cai is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Geometry and Topology. According to data from OpenAlex, Gang Cai has authored 81 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computational Theory and Mathematics, 46 papers in Numerical Analysis and 28 papers in Geometry and Topology. Recurrent topics in Gang Cai's work include Optimization and Variational Analysis (56 papers), Advanced Optimization Algorithms Research (43 papers) and Fixed Point Theorems Analysis (28 papers). Gang Cai is often cited by papers focused on Optimization and Variational Analysis (56 papers), Advanced Optimization Algorithms Research (43 papers) and Fixed Point Theorems Analysis (28 papers). Gang Cai collaborates with scholars based in China, Nigeria and United States. Gang Cai's co-authors include Shangquan Bu, Yekini Shehu, Olaniyi S. Iyiola, Qiao‐Li Dong, Peng Yu, Aviv Gibali, Ping Luo, Bing Tan, Prasit Cholamjiak and Dong Qiao and has published in prestigious journals such as Computers & Mathematics with Applications, Journal of Computational and Applied Mathematics and Nonlinear Analysis.

In The Last Decade

Gang Cai

72 papers receiving 482 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gang Cai	444	338	200	84	75	81	498
Nguyen Dong Yen	445 1.0×	246 0.7×	114 0.6×	27 0.3×	61 0.8×	41	492
Doug Ward	428 1.0×	343 1.0×	78 0.4×	43 0.5×	45 0.6×	28	465
Rabian Wangkeeree	459 1.0×	311 0.9×	283 1.4×	19 0.2×	44 0.6×	93	542
J. Zafarani	409 0.9×	192 0.6×	116 0.6×	35 0.4×	87 1.2×	55	472
Hassan Riahi	431 1.0×	227 0.7×	146 0.7×	120 1.4×	19 0.3×	42	506
V. V. Semenov	560 1.3×	432 1.3×	129 0.6×	146 1.7×	105 1.4×	59	613
Rainer Wittmann	455 1.0×	358 1.1×	372 1.9×	114 1.4×	23 0.3×	30	584
Giandomenico Mastroeni	575 1.3×	450 1.3×	106 0.5×	33 0.4×	64 0.9×	45	608
Ivan Ginchev	443 1.0×	326 1.0×	75 0.4×	32 0.4×	74 1.0×	40	479
Marc Lassonde	417 0.9×	163 0.5×	222 1.1×	80 1.0×	20 0.3×	32	502

Countries citing papers authored by Gang Cai

Since Specialization

Citations

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

Fields of papers citing papers by Gang Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Cai. A scholar is included among the top collaborators of Gang Cai 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 Gang Cai. Gang Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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