Xian-Jun Long

679 citations
56 papers · 490 · h-index 13

Impact in

Papers in

Xian-Jun Long

52 papers receiving 422 citations

Peers

Xian-Jun Long
Comparison fields: 5 of 39
  • Numerical Analysis 281
  • Computational Theory and Mathematics 463
  • Geometry and Topology 116
  • Statistics and Probability 69
  • Management Science and Operations Research 98
Replace Sorin‐Mihai Grad with:
Sorin‐Mihai Grad Germany
Trúóng Xuân Dúc Hā Vietnam
A. Göpfert Germany
G. M. Lee South Korea
Elena Molho Italy
C. S. Lalitha India
Xiaohu Yang China
Enrico Miglierina Italy
C. Gutiérrez Spain
J. Zafarani Iran
Xian-Jun Long relative to Sorin‐Mihai Grad Germany Sorin‐Mihai Grad's profile →
Citations per field
00.5×1.5×2.0×
Sorin‐Mihai Grad · 1×
Citations per year

Countries citing papers authored by Xian-Jun Long

Since Specialization
Citations

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

Fields of papers citing papers by Xian-Jun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian-Jun Long. 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 Xian-Jun Long. The network helps show where Xian-Jun Long may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200747
2 201230
3 201530
4 201029
5 201727
6 201025
7 200822
8 201720
9 200919
10 202118
11 201615
12 200812
13 202112
14 201711
15 202111
16 201410
17 200610
18 20229
19 20149
20 20128

About Xian-Jun Long

Xian-Jun Long is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Geometry and Topology, Applied Mathematics and Control and Systems Engineering, having authored 56 papers that have together received 490 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (51 papers), Advanced Optimization Algorithms Research (28 papers), Fixed Point Theorems Analysis (22 papers), Optimization and Mathematical Programming (9 papers), Contact Mechanics and Variational Inequalities (8 papers), Nonlinear Differential Equations Analysis (7 papers), Topology Optimization in Engineering (6 papers) and Risk and Portfolio Optimization (5 papers). The work is most often cited by research in Numerical Analysis (281 citations), Computational Theory and Mathematics (463 citations), Geometry and Topology (116 citations), Statistics and Probability (69 citations) and Management Science and Operations Research (98 citations). Xian-Jun Long has collaborated with scholars based in China, Taiwan and Malaysia. Frequent co-authors include Nan‐jing Huang, Jian-Wen Peng, Kok Lay Teo, Xiangkai Sun, Jen‐Chih Yao, Yi‐bin Xiao, Juan Liu, Jinshan Zeng, Xiaobing Li and Zhibin Liu. Their work appears in journals such as Journal of Optimization Theory and Applications, Optimization Letters, Optimization, Journal of Global Optimization and Journal of Industrial and Management Optimization.

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.

Explore authors with similar magnitude of impact