Ge Cheng

42 total papers · 708 total citations
17 papers, 462 citations indexed

About

Ge Cheng is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Ge Cheng has authored 17 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Computer Networks and Communications. Recurrent topics in Ge Cheng's work include Security and Verification in Computing (5 papers), Cloud Data Security Solutions (3 papers) and Advanced Malware Detection Techniques (3 papers). Ge Cheng is often cited by papers focused on Security and Verification in Computing (5 papers), Cloud Data Security Solutions (3 papers) and Advanced Malware Detection Techniques (3 papers). Ge Cheng collaborates with scholars based in China, United States and Belgium. Ge Cheng's co-authors include Ya-Ping Li, Wenqing Cheng, Wei Liu, Qi Liu, Tao Xie, Chengqing Li, Yunqing Huang, Zhenyu Zhang, Chunhui He and Deqing Zou and has published in prestigious journals such as Technological Forecasting and Social Change, Electronics Letters and Nonlinear Dynamics.

In The Last Decade

Ge Cheng

14 papers receiving 439 citations

Author Peers

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

Author						Papers	Cites
Ge Cheng	194	122	111	82	59	17	462
Carlos Bousoño‐Calzón	146 0.8×	108 0.9×	45 0.4×	182 2.2×	30 0.5×	28	459
Ross Anderson	91 0.5×	60 0.5×	14 0.1×	101 1.2×	45 0.8×	14	407
John Cohn	64 0.3×	150 1.2×	123 1.1×	52 0.6×	4 0.1×	18	488
Giridhar Maji	65 0.3×	53 0.4×	46 0.4×	81 1.0×	21 0.4×	28	470
Ye Chen	96 0.5×	31 0.3×	47 0.4×	137 1.7×	8 0.1×	27	442
Eesa Alsolami	42 0.2×	47 0.4×	195 1.8×	182 2.2×	13 0.2×	25	426
Jacobo Valdes	183 0.9×	100 0.8×	29 0.3×	100 1.2×	11 0.2×	9	512
Yee Ling Boo	73 0.4×	35 0.3×	58 0.5×	300 3.7×	41 0.7×	22	516
Yating Wang	290 1.5×	109 0.9×	40 0.4×	89 1.1×	23 0.4×	23	502
George Stephanides	127 0.7×	53 0.4×	85 0.8×	130 1.6×	14 0.2×	41	510

Countries citing papers authored by Ge Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Ge Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Cheng. A scholar is included among the top collaborators of Ge Cheng 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 Ge Cheng. Ge Cheng 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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