Wei‐Ling Chang
Impact in
- Oncology top 10%
- Lymphatic System and Diseases
- Cell Biology top 10%
- melanin and skin pigmentation
Papers in
- Oncology 17
- Lymphatic System and Diseases 10
- Peptidase Inhibition and Analysis 3
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- Network Security and Intrusion Detection 4
- Cooperative Communication and Network Coding 3
- Co-authors
- Oscar Javier Manrique (14 shared papers)Hung‐Chi Chen (13 shared papers)Pedro Ciudad (14 shared papers)Bo Wang (2 shared papers)Xunxun Chen (2 shared papers)Mouchammed Agko (12 shared papers)Jih‐Hwa Guh (6 shared papers)Fabio Nicoli (5 shared papers)
- Journals
- Microsurgery (8 papers)Journal of Surgical Oncology (5 papers)Development (2 papers)Oncotarget (2 papers)Biochemical Pharmacology (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Wei‐Ling Chang
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 123
- Oncology 322
- Cell Biology 185
- Computer Networks and Communications 139
- Surgery 180
- Rehabilitation 24
Countries citing papers authored by Wei‐Ling Chang
This map shows the geographic impact of Wei‐Ling 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‐Ling 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‐Ling Chang more than expected).
Fields of papers citing papers by Wei‐Ling Chang
This network shows the impact of papers produced by Wei‐Ling 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‐Ling Chang. The network helps show where Wei‐Ling Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Ling Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 104 | |
| 2 | 2023 | 90 | |
| 3 | 2017 | 76 | |
| 4 | 2009 | 58 | |
| 5 | 2017 | 58 | |
| 6 | 2015 | 46 | |
| 7 | 2019 | 44 | |
| 8 | 2015 | 43 | |
| 9 | 2016 | 42 | |
| 10 | 2019 | 41 | |
| 11 | 2021 | 37 | |
| 12 | 2008 | 34 | |
| 13 | 2012 | 32 | |
| 14 | 2019 | 29 | |
| 15 | 2013 | 29 | |
| 16 | 2010 | 27 | |
| 17 | 2007 | 25 | |
| 18 | 2006 | 22 | |
| 19 | 2015 | 19 | |
| 20 | 2017 | 17 |
About Wei‐Ling Chang
Wei‐Ling Chang is a scholar working on Oncology, Computer Networks and Communications, Cell Biology, Surgery and Statistical and Nonlinear Physics, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphatic System and Diseases (10 papers), Diagnosis and Treatment of Venous Diseases (4 papers), Network Security and Intrusion Detection (4 papers), Lymphatic Disorders and Treatments (4 papers), Cooperative Communication and Network Coding (3 papers), Reconstructive Surgery and Microvascular Techniques (3 papers), Peptidase Inhibition and Analysis (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Oncology (322 citations), Cell Biology (185 citations), Computer Networks and Communications (139 citations), Surgery (180 citations) and Rehabilitation (24 citations). Wei‐Ling Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Oscar Javier Manrique, Hung‐Chi Chen, Pedro Ciudad, Bo Wang, Xunxun Chen, Mouchammed Agko, Jih‐Hwa Guh, Fabio Nicoli, Shou‐Hsia Cheng and Chi‐Chen Chen. Their work appears in journals such as Microsurgery, Journal of Surgical Oncology, Development, Oncotarget and Biochemical Pharmacology.
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.