Tang‐Hsien Chang

64 total papers · 698 total citations
34 papers, 531 citations indexed

About

Tang‐Hsien Chang is a scholar working on Automotive Engineering, Control and Systems Engineering and Transportation. According to data from OpenAlex, Tang‐Hsien Chang has authored 34 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Automotive Engineering, 15 papers in Control and Systems Engineering and 15 papers in Transportation. Recurrent topics in Tang‐Hsien Chang's work include Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (13 papers) and Traffic control and management (13 papers). Tang‐Hsien Chang is often cited by papers focused on Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (13 papers) and Traffic control and management (13 papers). Tang‐Hsien Chang collaborates with scholars based in Taiwan, United States and China. Tang‐Hsien Chang's co-authors include Yao-Jan Wu, Chieh Wang, Feng‐Li Lian, Yu‐Ting Hsu, Albert Y. Chen, Yi‐Ru Chen, Chia-Wen Chang, Chun-Hung Lin, Huapu Lu and Fumin Zou and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies and Transportation Research Part B Methodological.

In The Last Decade

Tang‐Hsien Chang

32 papers receiving 499 citations

Author Peers

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

Author Last Decade Papers Cites
Tang‐Hsien Chang 317 273 236 167 66 34 531
Zawar H. Khan 330 1.0× 259 0.9× 270 1.1× 86 0.5× 74 1.1× 59 591
Qingchao Liu 173 0.5× 142 0.5× 250 1.1× 138 0.8× 56 0.8× 57 575
Geqi Qi 107 0.3× 237 0.9× 201 0.9× 205 1.2× 85 1.3× 44 519
Mansoureh Jeihani 156 0.5× 263 1.0× 204 0.9× 165 1.0× 210 3.2× 69 612
Yifan Zhuang 136 0.4× 113 0.4× 193 0.8× 70 0.4× 106 1.6× 28 516
J.H. Hogema 236 0.7× 117 0.4× 102 0.4× 255 1.5× 269 4.1× 64 568
Yan Qi 174 0.5× 187 0.7× 220 0.9× 62 0.4× 88 1.3× 36 485
Xin Li 190 0.6× 301 1.1× 135 0.6× 342 2.0× 39 0.6× 42 601
Qi Yang 308 1.0× 327 1.2× 231 1.0× 103 0.6× 48 0.7× 44 583
Bani Anvari 141 0.4× 105 0.4× 131 0.6× 111 0.7× 108 1.6× 24 487

Countries citing papers authored by Tang‐Hsien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tang‐Hsien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tang‐Hsien Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tang‐Hsien Chang. A scholar is included among the top collaborators of Tang‐Hsien 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 Tang‐Hsien Chang. Tang‐Hsien Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026