Tonghua Li

1.0k citations
44 papers · 792 · h-index 17

Impact in

Papers in

    • Machine Learning in Bioinformatics 13
    • Protein Structure and Dynamics 10
    • RNA and protein synthesis mechanisms 6
    • Genomics and Phylogenetic Studies 5
    • Metabolomics and Mass Spectrometry Studies 4
    • Computational Drug Discovery Methods 7

Tonghua Li

44 papers receiving 760 citations

Peers

Tonghua Li
Comparison fields: 5 of 119
  • Analytical Chemistry 107
  • Computational Theory and Mathematics 100
  • Spectroscopy 94
  • Molecular Biology 343
  • Industrial and Manufacturing Engineering 41
Replace Hao Tian with:
Hao Tian China
Chetan T. Goudar United States
Philippe Bogaerts Belgium
Heiko Neuweger Germany
Tian Xie China
Krzysztof Kaczmarek Poland
Zhichao Liu China
Jeffrey A. Cramer United States
Qiang Lyu China
Tonghua Li relative to Hao Tian China Hao Tian's profile →
Citations per field
00.5×6.3×
Hao Tian · 1×
Citations per year

Countries citing papers authored by Tonghua Li

Since Specialization
Citations

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

Fields of papers citing papers by Tonghua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tonghua Li, 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 Tonghua Li Line = papers co-authored together Tonghua Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201981
2 201875
3 199270
4 200546
5 200242
6 201732
7 200232
8 201031
9 201029
10 201127
11 201927
12 199326
13 200922
14 200220
15 199420
16 199917
17 201917
18 201716
19 201115
20 201315

About Tonghua Li

Tonghua Li is a scholar working on Molecular Biology, Computational Theory and Mathematics, Analytical Chemistry, Spectroscopy and Industrial and Manufacturing Engineering, having authored 44 papers that have together received 792 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (13 papers), Protein Structure and Dynamics (10 papers), Spectroscopy and Chemometric Analyses (7 papers), Computational Drug Discovery Methods (7 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (5 papers), Analytical Chemistry and Chromatography (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Analytical Chemistry (107 citations), Computational Theory and Mathematics (100 citations), Spectroscopy (94 citations), Molecular Biology (343 citations) and Industrial and Manufacturing Engineering (41 citations). Tonghua Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Peisheng Cong, Kailin Tang, Wenwei Xiong, G. Kateman, C.B. Lucasius, Jiangming Sun, Chengde Yang, Tongcheng Cao, Lijuan Wei and Xingyi Chen. Their work appears in journals such as Analytica Chimica Acta, Chemometrics and Intelligent Laboratory Systems, Talanta, Biochimie and PLoS ONE.

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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