Keng Hoon Gan

92 total papers · 851 total citations
55 papers, 498 citations indexed

About

Keng Hoon Gan is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Keng Hoon Gan has authored 55 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 18 papers in Information Systems and 10 papers in Sociology and Political Science. Recurrent topics in Keng Hoon Gan's work include Advanced Text Analysis Techniques (16 papers), Sentiment Analysis and Opinion Mining (12 papers) and Text and Document Classification Technologies (11 papers). Keng Hoon Gan is often cited by papers focused on Advanced Text Analysis Techniques (16 papers), Sentiment Analysis and Opinion Mining (12 papers) and Text and Document Classification Technologies (11 papers). Keng Hoon Gan collaborates with scholars based in Malaysia, Jordan and China. Keng Hoon Gan's co-authors include Tien-Ping Tan, Huah Yong Chan, Aman Jantan, Humaira Arshad, Song‐Quan Ong, Rosni Abdullah, Abiodun Esther Omolara, Wan Mohd Nazmee Wan Zainon, Fadratul Hafinaz Hassan and Oscar Gee‐Wan Wong and has published in prestigious journals such as IEEE Access, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Keng Hoon Gan

48 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Keng Hoon Gan	301	187	138	62	37	55	498
Mohd Ridzwan Yaakub	355 1.2×	170 0.9×	140 1.0×	27 0.4×	37 1.0×	51	582
Yuanchao Liu	470 1.6×	179 1.0×	75 0.5×	33 0.5×	21 0.6×	56	588
El‐Sayed Atlam	267 0.9×	132 0.7×	43 0.3×	34 0.5×	39 1.1×	46	548
Chongyang Shi	285 0.9×	234 1.3×	70 0.5×	45 0.7×	31 0.8×	48	464
Ahmad Baraani-Dastjerdi	255 0.8×	167 0.9×	75 0.5×	42 0.7×	68 1.8×	52	540
Giles Oatley	135 0.4×	96 0.5×	152 1.1×	24 0.4×	22 0.6×	42	452
Wanjun Zhong	401 1.3×	152 0.8×	151 1.1×	23 0.4×	18 0.5×	36	521
Bharat Bhasker	189 0.6×	238 1.3×	86 0.6×	38 0.6×	52 1.4×	40	458
Attila Kiss	272 0.9×	121 0.6×	125 0.9×	30 0.5×	53 1.4×	68	484
Viviane P. Moreira	412 1.4×	155 0.8×	32 0.2×	44 0.7×	55 1.5×	59	561

Countries citing papers authored by Keng Hoon Gan

Since Specialization

Citations

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

Fields of papers citing papers by Keng Hoon Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keng Hoon Gan. 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 Keng Hoon Gan. The network helps show where Keng Hoon Gan may publish in the future.

Co-authorship network of co-authors of Keng Hoon Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Keng Hoon Gan. A scholar is included among the top collaborators of Keng Hoon Gan 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 Keng Hoon Gan. Keng Hoon Gan 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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