Heng‐Chuan Kan

34 total papers · 550 total citations
23 papers, 428 citations indexed

About

Heng‐Chuan Kan is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Heng‐Chuan Kan has authored 23 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 6 papers in Computational Mechanics and 5 papers in Computer Networks and Communications. Recurrent topics in Heng‐Chuan Kan's work include Distributed and Parallel Computing Systems (5 papers), Advanced MEMS and NEMS Technologies (4 papers) and Lattice Boltzmann Simulation Studies (4 papers). Heng‐Chuan Kan is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Advanced MEMS and NEMS Technologies (4 papers) and Lattice Boltzmann Simulation Studies (4 papers). Heng‐Chuan Kan collaborates with scholars based in Taiwan and United States. Heng‐Chuan Kan's co-authors include Wei Shyy, H. S. Udaykumar, Roger Tran‐Son‐Tay, Chia‐Chin Chen, Wen‐Horng Yang, Hsien‐Chang Chang, I-Fang Cheng, Chao‐Tung Yang, Yeng‐Tseng Wang and Chien-Wei Liu and has published in prestigious journals such as Analytical Chemistry, Journal of Computational Physics and Journal of Physics D Applied Physics.

In The Last Decade

Heng‐Chuan Kan

20 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Heng‐Chuan Kan	225	118	81	52	51	23	428
Harishankar Manikantan	209 0.9×	129 1.1×	41 0.5×	95 1.8×	38 0.7×	18	379
Sukalyan Bhattacharya	256 1.1×	211 1.8×	66 0.8×	128 2.5×	13 0.3×	40	491
Kaili Xie	232 1.0×	143 1.2×	25 0.3×	32 0.6×	15 0.3×	14	374
D. Tullock	82 0.4×	189 1.6×	21 0.3×	43 0.8×	20 0.4×	11	403
Devranjan Samanta	348 1.5×	71 0.6×	64 0.8×	32 0.6×	43 0.8×	36	453
Emmanuel Maitre	263 1.2×	30 0.3×	19 0.2×	16 0.3×	69 1.4×	28	413
Markus Gusenbauer	56 0.2×	133 1.1×	65 0.8×	56 1.1×	66 1.3×	36	392
Xiaoqiang Wang	153 0.7×	55 0.5×	9 0.1×	136 2.6×	31 0.6×	31	390
Marc Léonetti	96 0.4×	81 0.7×	26 0.3×	54 1.0×	180 3.5×	25	423
Zaiyi Shen	111 0.5×	141 1.2×	20 0.2×	45 0.9×	163 3.2×	21	395

Countries citing papers authored by Heng‐Chuan Kan

Since Specialization

Citations

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

Fields of papers citing papers by Heng‐Chuan Kan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heng‐Chuan Kan. 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 Heng‐Chuan Kan. The network helps show where Heng‐Chuan Kan may publish in the future.

Co-authorship network of co-authors of Heng‐Chuan Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Heng‐Chuan Kan. A scholar is included among the top collaborators of Heng‐Chuan Kan 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 Heng‐Chuan Kan. Heng‐Chuan Kan 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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