Gang‐Len Chang

228 total papers · 3.5k total citations
173 papers, 2.6k citations indexed

About

Gang‐Len Chang is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Gang‐Len Chang has authored 173 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Control and Systems Engineering, 127 papers in Transportation and 119 papers in Building and Construction. Recurrent topics in Gang‐Len Chang's work include Traffic control and management (128 papers), Transportation Planning and Optimization (127 papers) and Traffic Prediction and Management Techniques (116 papers). Gang‐Len Chang is often cited by papers focused on Traffic control and management (128 papers), Transportation Planning and Optimization (127 papers) and Traffic Prediction and Management Techniques (116 papers). Gang‐Len Chang collaborates with scholars based in United States, China and Taiwan. Gang‐Len Chang's co-authors include Xiaorong Lai, Xianfeng Yang, Yue Liu, Yao Cheng, Nan Zou, Ying Liu, David Pearson, Yang Lu, Ying Liu and Robert K Herman and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

In The Last Decade

Gang‐Len Chang

165 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Gang‐Len Chang 1.8k 1.7k 1.3k 585 418 173 2.6k
Lee D. Han 1.3k 0.7× 836 0.5× 1.3k 1.0× 435 0.7× 346 0.8× 110 2.4k
Keping Li 1.5k 0.8× 938 0.6× 676 0.5× 377 0.6× 166 0.4× 225 3.1k
Lina Kattan 1.8k 1.0× 779 0.5× 926 0.7× 577 1.0× 192 0.5× 118 2.7k
Baher Abdulhai 2.0k 1.1× 2.2k 1.3× 2.1k 1.6× 312 0.5× 257 0.6× 153 3.6k
Robert L. Bertini 2.1k 1.2× 1.7k 1.0× 1.7k 1.3× 448 0.8× 150 0.4× 174 2.8k
Amer Shalaby 2.8k 1.6× 651 0.4× 1.3k 0.9× 660 1.1× 171 0.4× 189 3.6k
Alexander Skabardonis 2.6k 1.4× 2.6k 1.5× 2.6k 2.0× 638 1.1× 160 0.4× 155 4.0k
John Golias 2.5k 1.4× 1.5k 0.9× 2.5k 1.9× 1.1k 1.8× 275 0.7× 93 4.2k
Keechoo Choi 2.4k 1.3× 631 0.4× 882 0.7× 1.3k 2.3× 295 0.7× 161 3.7k
Henk J. van Zuylen 3.1k 1.7× 2.1k 1.3× 2.6k 2.0× 376 0.6× 183 0.4× 180 4.2k

Countries citing papers authored by Gang‐Len Chang

Since Specialization
Citations

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

Fields of papers citing papers by Gang‐Len Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang‐Len Chang

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