Xiaojun Long

851 citations
31 papers · 661 · 1 hit paper · h-index 11

Impact in

Papers in

Xiaojun Long

27 papers receiving 645 citations

Xiaojun Long's Hit Papers

Finite-time consensus for second-order multi-agent systems with disturbances by integral sliding mode 2015 · 393 citations
3930+3+7Years since publication100200300

Peers

Xiaojun Long
Comparison fields: 5 of 76
  • Computer Networks and Communications 373
  • Control and Systems Engineering 356
  • Industrial and Manufacturing Engineering 71
  • Computational Theory and Mathematics 38
  • Aerospace Engineering 54
Replace Fei Teng with:
Fei Teng China
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Tian Qi China
Xiangxi Kong China
Kehong Lv China
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Citations per year

Countries citing papers authored by Xiaojun Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Finite-time consensus for second-order multi-agent systems with disturbances by integral sliding mode
Hit paper breakdown →
2015393
2 202229
3 202127
4 202127
5 201627
6 202021
7 202221
8 201618
9 201918
10 202113
11 202210
12 20209
13 20209
14 20207
15 20145
16 20245
17 20185
18 20164
19 20213
20 20242

About Xiaojun Long

Xiaojun Long is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Molecular Biology, Industrial and Manufacturing Engineering and Biomedical Engineering, having authored 31 papers that have together received 661 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (8 papers), Neural Networks Stability and Synchronization (8 papers), Adaptive Control of Nonlinear Systems (7 papers), Scheduling and Optimization Algorithms (5 papers), Graphene and Nanomaterials Applications (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Bone Tissue Engineering Materials (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Computer Networks and Communications (373 citations), Control and Systems Engineering (356 citations), Industrial and Manufacturing Engineering (71 citations), Computational Theory and Mathematics (38 citations) and Aerospace Engineering (54 citations). Xiaojun Long has collaborated with scholars based in China and Mexico. Frequent co-authors include Shuanghe Yu, Tianguo Jin, Wenjian Weng, Kui Cheng, Ge Guo, Daping Wang, Wenlong Xu, Jingtao Zhang, Hongwei Ouyang and Li Duan. Their work appears in journals such as Bioactive Materials, Automatica, ACS Biomaterials Science & Engineering, Frontiers in Cell and Developmental Biology and IEEE Transactions on Circuits & Systems II Express Briefs.

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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