Lijun Chang

3.8k total citations
102 papers, 2.5k citations indexed

About

Lijun Chang is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lijun Chang has authored 102 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Signal Processing, 50 papers in Artificial Intelligence and 43 papers in Computer Networks and Communications. Recurrent topics in Lijun Chang's work include Data Management and Algorithms (51 papers), Graph Theory and Algorithms (35 papers) and Advanced Graph Neural Networks (35 papers). Lijun Chang is often cited by papers focused on Data Management and Algorithms (51 papers), Graph Theory and Algorithms (35 papers) and Advanced Graph Neural Networks (35 papers). Lijun Chang collaborates with scholars based in Australia, Hong Kong and China. Lijun Chang's co-authors include Lu Qin, Xuemin Lin, Jeffrey Xu Yu, Wenjie Zhang, Ying Zhang, Miao Qiao, Longbin Lai, Hong Cheng, Long Yuan and Kai Yao and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Applied Sciences and Proceedings of the VLDB Endowment.

In The Last Decade

Lijun Chang

97 papers receiving 2.5k citations

Peers

Lijun Chang
Comparison fields: 5 of 75
  • Artificial Intelligence 1.2k
  • Computer Networks and Communications 1.1k
  • Signal Processing 1.1k
  • Computer Vision and Pattern Recognition 950
  • Statistical and Nonlinear Physics 753
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Arijit Khan Singapore
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Vassilis J. Tsotras United States
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Lizhu Zhou China View profile →
Citations per field, relative to Lijun Chang
Lijun Chang · 1×
Citations per year, relative to Lijun Chang
Lijun Chang · 1×

Countries citing papers authored by Lijun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Chang. A scholar is included among the top collaborators of Lijun Chang 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 Lijun Chang. Lijun Chang 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 1
4 1
5 4
6 2
7 1
8 3
9 8
10 4
11 45
12
An Optimal and Progressive Approach to Online Search of Top-k Important Communities.
1
13 40
14 20
15 17
16 31
17 27
18
Keyword Search in Relational Databases: A Survey.
101
19 56
20 14

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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