Ming‐Chung Chang
About
In The Last Decade
Ming‐Chung Chang
46 papers receiving 535 citations
Peers
Comparison fields: 5 of 70
- Economics and Econometrics 428
- Environmental Engineering 247
- Renewable Energy, Sustainability and the Environment 169
- Management Science and Operations Research 165
- Pollution 63
Countries citing papers authored by Ming‐Chung Chang
This map shows the geographic impact of Ming‐Chung 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 Ming‐Chung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chung Chang more than expected).
Fields of papers citing papers by Ming‐Chung Chang
This network shows the impact of papers produced by Ming‐Chung 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 Ming‐Chung Chang. The network helps show where Ming‐Chung Chang may publish in the future.
Co-authorship network of co-authors of Ming‐Chung Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chung Chang. A scholar is included among the top collaborators of Ming‐Chung 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 Ming‐Chung Chang. Ming‐Chung Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.