Zhanchao Li

1.7k citations
69 papers · 1.4k indexed · h-index 19
Topics
Machine Learning in Bioinformatics (27 papers)Computational Drug Discovery Methods (16 papers)Bioinformatics and Genomic Networks (11 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsJournal of Hazardous Materials
Partner nations
ChinaTaiwanHong Kong

In The Last Decade

Zhanchao Li

67 papers receiving 1.4k citations

Peers

Zhanchao Li
Comparison fields: 5 of 128
  • Molecular Biology 837
  • Computational Theory and Mathematics 260
  • Analytical Chemistry 258
  • Water Science and Technology 122
  • Biomedical Engineering 109
Replace Mohsen Kompany‐Zareh with:
Mohsen Kompany‐Zareh Iran
Ali Barati Iran
Raouf Ghavami Iran
Yuhong Xiang China
Ahmad Mani‐Varnosfaderani Iran
Catherine Perrin France
В. В. Прокопенко Germany
J. Jönsson Sweden
Kanet Wongravee Thailand
Jinfang Nie China
Zhanchao Li relative to Mohsen Kompany‐Zareh Iran Mohsen Kompany‐Zareh's profile →
Citations per field
00.5×5.1×
Mohsen Kompany‐Zareh · 1×
Citations per year

Countries citing papers authored by Zhanchao Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhanchao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhanchao Li. 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 Zhanchao Li. The network helps show where Zhanchao Li may publish in the future.

Co-authorship network of co-authors of Zhanchao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanchao Li. A scholar is included among the top collaborators of Zhanchao Li 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 Zhanchao Li. Zhanchao Li 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 1
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6 12
7 16
8 33
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10 4
11 3
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13 16
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15 10
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17 19
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19 33
20 1

About Zhanchao Li

Zhanchao Li is a scholar working on Computational Theory and Mathematics, Analytical Chemistry and Numerical Analysis, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (27 papers), Computational Drug Discovery Methods (16 papers) and Bioinformatics and Genomic Networks (11 papers). The work is most often cited by research in Analytical Chemistry (258 citations), Computational Theory and Mathematics (260 citations) and Electrochemistry (95 citations). Zhanchao Li has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Xiaoyong Zou, Zong Dai, Xibin Zhou, Chao Chen, Ting Sun, Hong‐Tao Fan, Xuan Zhou, Xuan Zhou, Lijie Wu and Jing Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Hazardous Materials.

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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