Yan Chang
Impact in
- Artificial Intelligence top 2%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Cryptography and Data Security
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Quantum Information and Cryptography 47
- Quantum Computing Algorithms and Architecture 42
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- Quantum Mechanics and Applications 41
- Co-authors
- Shibin Zhang (42 shared papers)Lili Yan (25 shared papers)Deding Tao (3 shared papers)Yibing Hu (3 shared papers)Xiaolan Li (3 shared papers)Jichao Qin (3 shared papers)Lei Mu (2 shared papers)Kaiyu Huang (2 shared papers)
- Journals
- Leukemia Research (5 papers)Quantum Information Processing (5 papers)APOPTOSIS (3 papers)Cell Death and Disease (3 papers)Chinese Physics Letters (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yan Chang
119 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 832
- Cancer Research 296
- Atomic and Molecular Physics, and Optics 635
- Hematology 123
- Molecular Biology 596
Countries citing papers authored by Yan Chang
This map shows the geographic impact of Yan 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 Yan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Chang more than expected).
Fields of papers citing papers by Yan Chang
This network shows the impact of papers produced by Yan 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 Yan Chang. The network helps show where Yan Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 299 | |
| 2 | 2014 | 76 | |
| 3 | 2013 | 66 | |
| 4 | 2006 | 49 | |
| 5 | 2008 | 49 | |
| 6 | 2018 | 49 | |
| 7 | 2022 | 48 | |
| 8 | 2021 | 45 | |
| 9 | 2019 | 40 | |
| 10 | 2021 | 36 | |
| 11 | 2019 | 35 | |
| 12 | 2018 | 34 | |
| 13 | 2017 | 32 | |
| 14 | 2018 | 32 | |
| 15 | 2008 | 31 | |
| 16 | 2020 | 31 | |
| 17 | 2020 | 31 | |
| 18 | 2019 | 31 | |
| 19 | 2017 | 30 | |
| 20 | 2020 | 30 |
About Yan Chang
Yan Chang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Molecular Biology, Hematology and Public Health, Environmental and Occupational Health, having authored 127 papers that have together received 2.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (47 papers), Quantum Computing Algorithms and Architecture (42 papers), Quantum Mechanics and Applications (41 papers), Acute Myeloid Leukemia Research (11 papers), Acute Lymphoblastic Leukemia research (10 papers), Selenium in Biological Systems (8 papers), Mercury impact and mitigation studies (7 papers) and Heavy metals in environment (7 papers). The work is most often cited by research in Artificial Intelligence (832 citations), Cancer Research (296 citations), Atomic and Molecular Physics, and Optics (635 citations), Hematology (123 citations) and Molecular Biology (596 citations). Yan Chang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shibin Zhang, Lili Yan, Deding Tao, Yibing Hu, Xiaolan Li, Jichao Qin, Lei Mu, Kaiyu Huang, Yaqun Wu and Chunxiang Xu. Their work appears in journals such as Leukemia Research, Quantum Information Processing, APOPTOSIS, Cell Death and Disease and Chinese Physics Letters.
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.