Jianxin Chang

1.7k total citations · 2 hit papers
17 papers, 840 citations indexed

About

Jianxin Chang is a scholar working on Information Systems, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Jianxin Chang has authored 17 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Artificial Intelligence and 4 papers in Civil and Structural Engineering. Recurrent topics in Jianxin Chang's work include Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (8 papers) and Topic Modeling (5 papers). Jianxin Chang is often cited by papers focused on Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (8 papers) and Topic Modeling (5 papers). Jianxin Chang collaborates with scholars based in China, Australia and Singapore. Jianxin Chang's co-authors include Chen Gao, Depeng Jin, Yu Zheng, Yong Li, Yang Song, Xiangnan He, Yiqun Hui, Yanan Niu, Yong Li and Nian Li and has published in prestigious journals such as Solar Energy, IEEE Transactions on Knowledge and Data Engineering and Ceramics International.

In The Last Decade

Jianxin Chang

17 papers receiving 823 citations

Hit Papers

A Survey of Graph Neural Networks for Recommender Sy... 2021 2026 2022 2024 2023 2021 100 200 300

Peers

Jianxin Chang
Comparison fields: 5 of 80
  • Information Systems 623
  • Artificial Intelligence 556
  • Computer Vision and Pattern Recognition 179
  • Management Science and Operations Research 118
  • Computer Networks and Communications 71
Replace Zhankui He with:
Zhankui He United States
Fei Cai China
Yu Lei Hong Kong
Ruining He United States
Aminu Da’u Malaysia
Dong‐Kyu Chae South Korea
Tao Qi China
María Salamó Spain
T. Ryan Hoens United States
Zhankui He United States View profile →
Citations per field, relative to Jianxin Chang
Jianxin Chang · 1×
Citations per year, relative to Jianxin Chang
Jianxin Chang · 1×

Countries citing papers authored by Jianxin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jianxin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianxin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianxin Chang. A scholar is included among the top collaborators of Jianxin 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 Jianxin Chang. Jianxin Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 13
2 5
3 1
4 11
5 1
6 15
7 41
8 6
9
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions breakdown →
312
10 6
11 3
12 33
13 56
14
Sequential Recommendation with Graph Convolutional Networks
1
15 28
16
Sequential Recommendation with Graph Neural Networks breakdown →
233
17 75

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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