Ing-Chau Chang

84 total papers · 796 total citations
56 papers, 574 citations indexed

About

Ing-Chau Chang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Ing-Chau Chang has authored 56 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 27 papers in Electrical and Electronic Engineering and 8 papers in Sociology and Political Science. Recurrent topics in Ing-Chau Chang's work include Vehicular Ad Hoc Networks (VANETs) (13 papers), Opportunistic and Delay-Tolerant Networks (12 papers) and IPv6, Mobility, Handover, Networks, Security (10 papers). Ing-Chau Chang is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (13 papers), Opportunistic and Delay-Tolerant Networks (12 papers) and IPv6, Mobility, Handover, Networks, Security (10 papers). Ing-Chau Chang collaborates with scholars based in Taiwan, United States and Switzerland. Ing-Chau Chang's co-authors include D.D. Kandlur, Debashis Saha, R. Engel, Dimitrios Pendarakis, Wanjiun Liao, Yihua Li, Jean Horkans, P. Klavins, R.N. Shelton and S.R. Wasserman and has published in prestigious journals such as Applied Physics Letters, Journal of The Electrochemical Society and Sensors.

In The Last Decade

Ing-Chau Chang

51 papers receiving 525 citations

Author Peers

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

Author						Papers	Cites
Ing-Chau Chang	305	227	112	96	88	56	574
T. Cuong	399 1.3×	190 0.8×	46 0.4×	61 0.6×	57 0.6×	33	605
Vikash Kumar Singh	89 0.3×	94 0.4×	65 0.6×	75 0.8×	105 1.2×	85	586
Pei Xu	115 0.4×	127 0.6×	71 0.6×	76 0.8×	18 0.2×	64	562
Sujata Pandey	89 0.3×	323 1.4×	35 0.3×	55 0.6×	113 1.3×	123	582
Rama Shankar Yadav	261 0.9×	229 1.0×	133 1.2×	56 0.6×	7 0.1×	78	548
Maninder Singh	130 0.4×	59 0.3×	116 1.0×	246 2.6×	87 1.0×	33	637
Xiaodan Wang	70 0.2×	317 1.4×	41 0.4×	16 0.2×	42 0.5×	44	504
Xiaolu Wang	65 0.2×	399 1.8×	18 0.2×	57 0.6×	38 0.4×	72	666
Ran Huang	105 0.3×	72 0.3×	53 0.5×	34 0.4×	25 0.3×	60	524
Matthias Neubauer	40 0.1×	147 0.6×	101 0.9×	84 0.9×	80 0.9×	69	689

Countries citing papers authored by Ing-Chau Chang

Since Specialization

Citations

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

Fields of papers citing papers by Ing-Chau Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ing-Chau Chang. 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 Ing-Chau Chang. The network helps show where Ing-Chau Chang may publish in the future.

Co-authorship network of co-authors of Ing-Chau Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ing-Chau Chang. A scholar is included among the top collaborators of Ing-Chau Chang 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 Ing-Chau Chang. Ing-Chau Chang 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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