Cheng-Wei Chang

816 citations
31 papers · 649 indexed · h-index 17
Topics
Gene expression and cancer classification (5 papers)Bioinformatics and Genomic Networks (5 papers)Molecular Biology Techniques and Applications (4 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Cheng-Wei Chang

31 papers receiving 642 citations

Peers

Cheng-Wei Chang
Comparison fields: 5 of 133
  • Molecular Biology 260
  • Materials Chemistry 77
  • Electronic, Optical and Magnetic Materials 59
  • Cancer Research 54
  • Epidemiology 43
Replace Mengwei Li with:
Mengwei Li China
Dian Li China
Yan Dai China
Amirreza Dehghanian Iran
Yunfeng Ni China
Rania G. Aly Egypt
Deng China
Chih‐Wei Chen Taiwan
Muhammad Nadeem Yousaf United States
Zejun Yan China
Cheng-Wei Chang relative to Mengwei Li China Mengwei Li's profile →
Citations per field
00.5×20×40×69×
Mengwei Li · 1×
Citations per year

Countries citing papers authored by Cheng-Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Wei 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 Cheng-Wei Chang. The network helps show where Cheng-Wei Chang may publish in the future.

Co-authorship network of co-authors of Cheng-Wei Chang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 34
2 34
3 7
4 5
5 49
6 13
7 2
8 37
9 30
10 22
11 24
12 28
13 4
14
Exploring the key success factors for partner selection of intellectual property services industry
1
15 32
16 8
17 113
18 46
19 7
20 28

About Cheng-Wei Chang

Cheng-Wei Chang is a scholar working on Biophysics, Pharmacology and Molecular Medicine, having authored 31 papers that have together received 649 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (5 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Biophysics (41 citations), Molecular Medicine (19 citations) and Molecular Biology (260 citations). Cheng-Wei Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ian C. Hsu, Wun‐Yi Shu, Min‐Lung Tsai, Jorng‐Tzong Horng, Wei‐Chung Cheng, Ta‐Jen Yen, Tzu‐Hao Chang, Chia‐Yang Li, Victor C. Kok and Chun‐Ya Chiu. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Acta Materialia.

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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