Jin Xu

2.5k total citations
128 papers, 1.9k citations indexed

About

Jin Xu is a scholar working on Molecular Biology, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Jin Xu has authored 128 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 24 papers in Mechanical Engineering and 21 papers in Biomedical Engineering. Recurrent topics in Jin Xu's work include Advanced biosensing and bioanalysis techniques (81 papers), DNA and Biological Computing (58 papers) and Modular Robots and Swarm Intelligence (24 papers). Jin Xu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (81 papers), DNA and Biological Computing (58 papers) and Modular Robots and Swarm Intelligence (24 papers). Jin Xu collaborates with scholars based in China, United States and Romania. Jin Xu's co-authors include Yun Xiang, Yaqin Chai, Ruo Yuan, Jiao Su, Ying Chen, Linqiang Pan, Jing Yang, Cheng Zhang, Yunying Xu and Ying Huang and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Hazardous Materials.

In The Last Decade

Jin Xu

120 papers receiving 1.8k citations

Peers

Jin Xu
Comparison fields: 5 of 114
  • Molecular Biology 1.5k
  • Biomedical Engineering 556
  • Electrical and Electronic Engineering 269
  • Computational Theory and Mathematics 207
  • Materials Chemistry 183
Replace Fernando V. Paulovich with:
Fernando V. Paulovich Brazil
Haohao Fu China
Petr Šulc United States
Douglas Densmore United States
Siddharth Goyal United States
Leonidas Bleris United States
Weiping Wang China
Minghui Wang China
Garima Thakur India
Yoshinori Yamaguchi Japan
Fernando V. Paulovich Brazil View profile →
Citations per field, relative to Jin Xu
Jin Xu · 1×
Citations per year, relative to Jin Xu
Jin Xu · 1×

Countries citing papers authored by Jin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Xu. A scholar is included among the top collaborators of Jin Xu 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 Jin Xu. Jin Xu 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 0
3 0
4 3
5 6
6 4
7 35
8 9
9 5
10 32
11
Lower Bounds on Ramsey Numbers R(6, 8), R(7, 9) and R(8, 17).
2
12
The DNA Computing Based on Triple Helix Nucleic Acid
1
13 60
14
Algorithm of TSP
1
15
Prediction of disulfide bonding in protein structure based on method of graph matching
1
16
Direct way of simplex method for solving linear programming model
1
17 1
18
DNA sticker algorithm for vertex-coloring problems of graph
4
19
DNA computing based on molecular beacons
5
20 1

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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