Zhihua Jin

1.3k total citations
65 papers, 940 citations indexed

About

Zhihua Jin is a scholar working on Molecular Biology, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Zhihua Jin has authored 65 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Artificial Intelligence and 17 papers in Pharmacology. Recurrent topics in Zhihua Jin's work include Microbial Natural Products and Biosynthesis (16 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Inertial Sensor and Navigation (8 papers). Zhihua Jin is often cited by papers focused on Microbial Natural Products and Biosynthesis (16 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Inertial Sensor and Navigation (8 papers). Zhihua Jin collaborates with scholars based in China, United States and Hong Kong. Zhihua Jin's co-authors include Weifeng Tian, Peilin Cen, Zesheng You, Lei Lu, N.R. Tao, Wei Chen, Lehe Mei, Huamin Qu, Chunling Fan and Bo Xu and has published in prestigious journals such as Acta Materialia, Journal of Agricultural and Food Chemistry and Chemosphere.

In The Last Decade

Zhihua Jin

62 papers receiving 905 citations

Peers

Zhihua Jin
Comparison fields: 5 of 128
  • Molecular Biology 279
  • Artificial Intelligence 162
  • Pharmacology 136
  • Mechanical Engineering 119
  • Materials Chemistry 118
Replace Ying Cui with:
Ying Cui China
Jun Ai China
Chenxin Li China
Jun Hu China
Zehao Huang China
Giacomo Innocenti Italy
Lin Huang China
M. Thoma Germany
Ying Cui China View profile →
Citations per field, relative to Zhihua Jin
Zhihua Jin · 1×
Citations per year, relative to Zhihua Jin
Zhihua Jin · 1×

Countries citing papers authored by Zhihua Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zhihua Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihua Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihua Jin. A scholar is included among the top collaborators of Zhihua Jin 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 Zhihua Jin. Zhihua Jin 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
# Work Indexed citations
1 0
2 6
3 57
4 3
5 2
6 7
7 4
8 1
9 9
10 14
11 36
12 39
13 11
14 22
15
Joint tracking algorithm using particle filter and mean shift with target model updating
13
16 36
17 5
18 11
19
Determination of teicoplanin A2's partition coefficient in different liquid-liquid extraction systems
1
20 10

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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