Yan Chang

2.7k citations
133 papers · 2.1k · h-index 26

Impact in

    • Quantum Information and Cryptography
    • Quantum Computing Algorithms and Architecture
    • Cryptography and Data Security
    • MicroRNA in disease regulation

Papers in

Yan Chang

125 papers receiving 2.1k citations

Peers

Yan Chang
Comparison fields: 5 of 123
  • Artificial Intelligence 867
  • Cancer Research 306
  • Atomic and Molecular Physics, and Optics 664
  • Hematology 125
  • Molecular Biology 605
Replace Maria Apostolaki with:
Maria Apostolaki Greece
Shui Wang China
Yoshiki Tanaka Japan
Chen Shao China
Xin Lü China
Xuefen Xu China
Uwe Scherf United States
Igor A. Popov Russia
Masaki Yamada Japan
Yan Chang relative to Maria Apostolaki Greece Maria Apostolaki's profile →
Citations per field
00.5×20×40×66.4×
Maria Apostolaki · 1×
Citations per year

Countries citing papers authored by Yan Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yan Chang Line = papers co-authored together Yan Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015309
2 201476
3 201368
4 201850
5 200649
6 200849
7 202248
8 202148
9 201940
10 202137
11 201935
12 201835
13 201833
14 201732
15 200831
16 201731
17 201331
18 202031
19 202031
20 201931

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 133 papers that have together received 2.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (53 papers), Quantum Computing Algorithms and Architecture (48 papers), Quantum Mechanics and Applications (47 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 (867 citations), Cancer Research (306 citations), Atomic and Molecular Physics, and Optics (664 citations), Hematology (125 citations) and Molecular Biology (605 citations). Yan Chang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shibin Zhang, Lili Yan, Jichao Qin, Yibing Hu, Xiaolan Li, Deding Tao, Lei Mu, Kaiyu Huang, Yaqun Wu and Chunxiang Xu. Their work appears in journals such as Leukemia Research, Quantum Information Processing, Chinese Physics Letters, The Science of The Total Environment and Cell Death and Disease.

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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