Haotian Li

467 citations
9 papers · 303 indexed · 1 hit paper · h-index 5
Topics
IoT and Edge/Fog Computing (4 papers)Privacy-Preserving Technologies in Data (3 papers)Blockchain Technology Applications and Security (2 papers)

In The Last Decade

Haotian Li

7 papers receiving 300 citations

Hit Papers

Network pharmacology prediction and molecular docking-bas...2022202620232024202250100150200250

Peers

Haotian Li
Comparison fields: 5 of 70
  • Molecular Biology 138
  • Pharmacology 87
  • Complementary and alternative medicine 54
  • Pharmacology 41
  • Computational Theory and Mathematics 34
Replace Shyamaladevi Babu with:
Shyamaladevi Babu India
Mengze Zhou China
Junfeng Zou China
Chong Yuan China
Xinxin Zhou China
Liping Qu China
Jinnan Zhang China
Zhaoxing Li China
Joon Yeop Lee South Korea
Haotian Li relative to Shyamaladevi Babu India Shyamaladevi Babu's profile →
Citations per field
00.5×1.5×
Shyamaladevi Babu · 1×
Citations per year

Countries citing papers authored by Haotian Li

Since Specialization
Citations

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

Fields of papers citing papers by Haotian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haotian Li

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 1
3 8
4 2
5 0
6
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsisbreakdown →
262
7 4
8 9
9 17

About Haotian Li

Haotian Li is a scholar working on Computer Networks and Communications, Computer Science Applications and Computational Theory and Mathematics, having authored 9 papers that have together received 303 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Pharmacology (87 citations), Complementary and alternative medicine (54 citations) and Biological Psychiatry (10 citations). Haotian Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Manyi Jing, Shizhang Wei, Xiao Ma, Yanling Zhao, Xing Li, Xujie Li, Weiguo Wang, Fei Shen, Xinjun Wang and Xinghui Yin. Their work appears in journals such as British Journal of Pharmacology, IEEE Access and Computers in Biology and Medicine.

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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