Cong Yao

105 total papers · 860 total citations
43 papers, 456 citations indexed

About

Cong Yao is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Cong Yao has authored 43 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Cong Yao's work include Advancements in Battery Materials (9 papers), Supercapacitor Materials and Fabrication (8 papers) and Handwritten Text Recognition Techniques (7 papers). Cong Yao is often cited by papers focused on Advancements in Battery Materials (9 papers), Supercapacitor Materials and Fabrication (8 papers) and Handwritten Text Recognition Techniques (7 papers). Cong Yao collaborates with scholars based in China, Cayman Islands and United Kingdom. Cong Yao's co-authors include Xinlu Li, Ronghua Wang, Yongjian Li, Dingyong Wang, Chaohe Xu, Qi Zheng, Zijie Xu, Yongmin Wang, Jing Yuan and Nan Mei and has published in prestigious journals such as Advanced Materials, The Science of The Total Environment and Water Research.

In The Last Decade

Cong Yao

38 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Cong Yao	178	94	84	52	49	43	456
Zichao Liu	214 1.2×	80 0.9×	55 0.7×	64 1.2×	9 0.2×	43	547
Yu Lü	163 0.9×	65 0.7×	22 0.3×	38 0.7×	20 0.4×	51	408
Shuxin Li	113 0.6×	88 0.9×	59 0.7×	96 1.8×	72 1.5×	50	473
Haiyue Wang	218 1.2×	38 0.4×	29 0.3×	76 1.5×	49 1.0×	37	438
Jin Zhao	39 0.2×	72 0.8×	54 0.6×	37 0.7×	31 0.6×	40	459
Li Qiao	246 1.4×	72 0.8×	20 0.2×	68 1.3×	34 0.7×	46	538
Hongyuan Yu	105 0.6×	187 2.0×	117 1.4×	55 1.1×	8 0.2×	35	537
Ruizhe Li	175 1.0×	92 1.0×	80 1.0×	65 1.3×	6 0.1×	47	542
Yunqi Wang	156 0.9×	25 0.3×	27 0.3×	49 0.9×	19 0.4×	33	521
Peixuan Zhang	70 0.4×	64 0.7×	182 2.2×	78 1.5×	27 0.6×	37	510

Countries citing papers authored by Cong Yao

Since Specialization

Citations

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

Fields of papers citing papers by Cong Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Yao

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