Chia‐Hsuan Chang

75 total papers · 613 total citations
39 papers, 428 citations indexed

About

Chia‐Hsuan Chang is a scholar working on Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Chia‐Hsuan Chang has authored 39 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Chia‐Hsuan Chang's work include Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (4 papers). Chia‐Hsuan Chang is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (4 papers). Chia‐Hsuan Chang collaborates with scholars based in Taiwan, United States and China. Chia‐Hsuan Chang's co-authors include Yen‐Ju Chen, Chih‐Wen Shu, Pei‐Feng Liu, Kun‐Che Chang, Christopher C. Yang, Jing Lou, San‐Yih Hwang, David E. Mold, Rong Huang and Shih‐Yi Huang and has published in prestigious journals such as Journal of Catalysis, Food Research International and Journal of Medical Internet Research.

In The Last Decade

Chia‐Hsuan Chang

32 papers receiving 405 citations

Hit Papers

The interplay of autophag... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Chia‐Hsuan Chang 84 67 60 55 53 39 428
Zhiran Zhang 82 1.0× 15 0.2× 17 0.3× 153 2.8× 30 0.6× 38 489
Chao-Nan Chen 31 0.4× 51 0.8× 7 0.1× 40 0.7× 57 1.1× 30 447
Yanli Zhang 46 0.5× 50 0.7× 23 0.4× 46 0.8× 17 0.3× 41 390
Zhongyuan Yu 54 0.6× 15 0.2× 14 0.2× 21 0.4× 23 0.4× 42 426
Chaoyang Yan 50 0.6× 45 0.7× 68 1.1× 22 0.4× 8 0.2× 48 470
Yuuki Kato 19 0.2× 58 0.9× 56 0.9× 54 1.0× 61 1.2× 48 443
Hanyoung Kim 76 0.9× 91 1.4× 23 0.4× 12 0.2× 12 0.2× 44 413
Ji Hwan Park 80 1.0× 6 0.1× 52 0.9× 33 0.6× 17 0.3× 35 368
Yun Wang 127 1.5× 33 0.5× 16 0.3× 14 0.3× 73 1.4× 20 450
Xiaoyan Mu 124 1.5× 25 0.4× 33 0.6× 46 0.8× 32 0.6× 43 432

Countries citing papers authored by Chia‐Hsuan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Hsuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Hsuan 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 Chia‐Hsuan Chang. The network helps show where Chia‐Hsuan Chang may publish in the future.

Co-authorship network of co-authors of Chia‐Hsuan Chang

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