Wei-Ting Chang

42 total papers · 708 total citations
20 papers, 387 citations indexed

About

Wei-Ting Chang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei-Ting Chang has authored 20 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei-Ting Chang's work include Privacy-Preserving Technologies in Data (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Cryptography and Data Security (3 papers). Wei-Ting Chang is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Cryptography and Data Security (3 papers). Wei-Ting Chang collaborates with scholars based in United States, Taiwan and South Korea. Wei-Ting Chang's co-authors include Ravi Tandon, Shih-Jung Wu, Celeste See-Pui Ng, She-I Chang, David C. Yen, Wenjing Yu, Jih‐Heng Li, Eunyoung Han, Heesun Chung and L. P. Chow and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and IEEE Transactions on Signal Processing.

In The Last Decade

Wei-Ting Chang

20 papers receiving 376 citations

Author Peers

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

Author						Papers	Cites
Wei-Ting Chang	172	120	46	39	38	20	387
Yong-Han Lee	46 0.3×	67 0.6×	28 0.6×	7 0.2×	27 0.7×	20	342
Сергей Евдокимов	98 0.6×	77 0.6×	89 1.9×	46 1.2×	24 0.6×	30	340
Arjen Hommersom	199 1.2×	33 0.3×	21 0.5×	32 0.8×	15 0.4×	48	421
A.M. Aleesa	176 1.0×	92 0.8×	26 0.6×	8 0.2×	5 0.1×	11	446
Darko Huljenić	52 0.3×	185 1.5×	55 1.2×	11 0.3×	12 0.3×	52	341
Enrique Moguel	115 0.7×	113 0.9×	33 0.7×	7 0.2×	17 0.4×	29	349
Zheng Li	156 0.9×	143 1.2×	46 1.0×	12 0.3×	15 0.4×	38	401
Yu Wang	192 1.1×	9 0.1×	9 0.2×	51 1.3×	25 0.7×	19	355
E.J. Cameron	203 1.2×	163 1.4×	43 0.9×	106 2.7×	37 1.0×	18	386
Alan R. Simon	154 0.9×	211 1.8×	8 0.2×	15 0.4×	16 0.4×	15	365

Countries citing papers authored by Wei-Ting Chang

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Ting Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Ting Chang

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