Cong Gao

56 total papers · 416 total citations
35 papers, 270 citations indexed

About

Cong Gao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cong Gao has authored 35 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cong Gao's work include Anomaly Detection Techniques and Applications (11 papers), Network Security and Intrusion Detection (6 papers) and Quantum Information and Cryptography (3 papers). Cong Gao is often cited by papers focused on Anomaly Detection Techniques and Applications (11 papers), Network Security and Intrusion Detection (6 papers) and Quantum Information and Cryptography (3 papers). Cong Gao collaborates with scholars based in China, United States and United Kingdom. Cong Gao's co-authors include Zhongmin Wang, Weisong Shi, Song-Ya Ma, Yanping Chen, Hong Xia, Zhiguo Qu, Pei Zhang, Ming‐Xing Luo, Zhongmin Wang and Yunyun Ma and has published in prestigious journals such as IEEE Access, Sensors and Neurocomputing.

In The Last Decade

Cong Gao

27 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
Cong Gao	145	76	56	44	31	35	270
Shan Jin	91 0.6×	67 0.9×	69 1.2×	37 0.8×	9 0.3×	53	308
Le Xia	114 0.8×	74 1.0×	149 2.7×	10 0.2×	16 0.5×	29	303
Pengfei Zhang	56 0.4×	104 1.4×	142 2.5×	25 0.6×	11 0.4×	45	291
Rui Liu	79 0.5×	40 0.5×	38 0.7×	9 0.2×	13 0.4×	45	266
Daxin Liu	73 0.5×	62 0.8×	23 0.4×	6 0.1×	50 1.6×	54	275
Yongjian Yang	72 0.5×	27 0.4×	27 0.5×	10 0.2×	21 0.7×	39	261
Travis S. Taylor	74 0.5×	91 1.2×	215 3.8×	12 0.3×	66 2.1×	20	330
Ali Bostani	50 0.3×	69 0.9×	120 2.1×	6 0.1×	16 0.5×	32	315
Fei Gao	61 0.4×	46 0.6×	39 0.7×	48 1.1×	44 1.4×	49	245
Ruiliang Zhang	89 0.6×	74 1.0×	136 2.4×	10 0.2×	16 0.5×	29	319

Countries citing papers authored by Cong Gao

Since Specialization

Citations

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

Fields of papers citing papers by Cong Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Gao

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