Jinlong Shu

86 papers receiving 912 citations

Peers

Jinlong Shu
Comparison fields: 5 of 48
  • Geometry and Topology 871
  • Computational Theory and Mathematics 724
  • Discrete Mathematics and Combinatorics 272
  • Organic Chemistry 272
  • Electrical and Electronic Engineering 67
Replace Lihua Feng with:
Lihua Feng China
Huiqiu Lin China
Sebastian M. Cioabă United States
Slobodan K. Simić Serbia
Vilmar Trevisan Brazil
Francesco Belardo Italy
Jiong-Sheng Li China
Sukanta Pati India
Yaoping Hou China
Qiongxiang Huang China
Jinlong Shu relative to Lihua Feng China Lihua Feng's profile →
Citations per field
00.5×1.5×
Lihua Feng · 1×
Citations per year

Countries citing papers authored by Jinlong Shu

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Shu. A scholar is included among the top collaborators of Jinlong Shu 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 Jinlong Shu. Jinlong Shu 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
2 10
3 9
4 3
5 11
6 35
7
On the matching polynomial of theta graphs.
0
8
Clique number and distance spectral radii of graphs.
5
9
Minimizing the least eigenvalue of bicyclic graphs with k pendant vertices.
1
10
On the spectra of tricyclic graphs.
1
11
Upper bounds on the spectral radius of k trees
6
12
Properties of a new class of transformation graphs
1
13 3
14 18
15
Ordering of trees with respect to their spectral radius of Nordhaus-Gaddum type
2
16
On the Spectral Radius of Trees with Fixed Maximal Degree
1
17 1
18
Partitioning a strong tournament into k cycles.
1
19
Upper Bounds on the Spectral Radius of Digraphs
1
20
On Trees Whose Second Largest Eigenvalue Does Not Exceed 1
5

About Jinlong Shu

Jinlong Shu is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 91 papers that have together received 948 indexed citations. Recurring topics across this work include Graph theory and applications (78 papers), Graph Labeling and Dimension Problems (35 papers) and Advanced Graph Theory Research (35 papers). The work is most often cited by research in Geometry and Topology (871 citations), Discrete Mathematics and Combinatorics (272 citations) and Computational Theory and Mathematics (724 citations). Jinlong Shu has collaborated with scholars based in China, France and United States. Frequent co-authors include Huiqiu Lin, Yuan Hong, Mingqing Zhai, Jie Xue, Ruifang Liu, Shuting Liu, Jianfeng Wang, Weihua Yang, Hailiang Zhang and Kinkar Chandra Das. Their work appears in journals such as Applied Mathematics and Computation, Computers & Mathematics with Applications and Theoretical Computer Science.

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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