Chong Feng

171 total papers · 1.3k total citations
78 papers, 782 citations indexed

About

Chong Feng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chong Feng has authored 78 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 17 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chong Feng's work include Topic Modeling (43 papers), Natural Language Processing Techniques (31 papers) and Advanced Text Analysis Techniques (19 papers). Chong Feng is often cited by papers focused on Topic Modeling (43 papers), Natural Language Processing Techniques (31 papers) and Advanced Text Analysis Techniques (19 papers). Chong Feng collaborates with scholars based in China, Pakistan and Nigeria. Chong Feng's co-authors include Heyan Huang, Arshad Ahmad, Ge Shi, Yashen Wang, Abdallah Yousif, Xian-Ling Mao, Kan Li, Ming Lei, Xiaochi Wei and Xiangnan He and has published in prestigious journals such as IEEE Access, Frontiers in Immunology and ACM Computing Surveys.

In The Last Decade

Chong Feng

71 papers receiving 752 citations

Author Peers

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

Author						Papers	Cites
Chong Feng	464	257	113	67	53	78	782
Mohamed Hamada	356 0.8×	262 1.0×	244 2.2×	70 1.0×	40 0.8×	99	861
Alessio Bechini	281 0.6×	179 0.7×	63 0.6×	88 1.3×	37 0.7×	49	760
Sarika Jain	375 0.8×	318 1.2×	57 0.5×	109 1.6×	107 2.0×	86	712
Patricia Riddle	424 0.9×	175 0.7×	91 0.8×	100 1.5×	49 0.9×	57	685
Mohammad Nadeem	186 0.4×	191 0.7×	90 0.8×	66 1.0×	35 0.7×	61	749
Nadim Obeid	397 0.9×	177 0.7×	87 0.8×	50 0.7×	30 0.6×	61	645
Từ Minh Phương	382 0.8×	310 1.2×	117 1.0×	78 1.2×	65 1.2×	52	748
Seppo Puuronen	471 1.0×	156 0.6×	123 1.1×	64 1.0×	54 1.0×	51	754
Harald Sack	450 1.0×	198 0.8×	208 1.8×	64 1.0×	132 2.5×	124	845
Carlo Tasso	542 1.2×	306 1.2×	87 0.8×	68 1.0×	30 0.6×	75	846

Countries citing papers authored by Chong Feng

Since Specialization

Citations

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

Fields of papers citing papers by Chong Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Feng

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