Liang Chang

3.3k total citations
210 papers, 2.1k citations indexed

About

Liang Chang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Liang Chang has authored 210 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 49 papers in Information Systems and 47 papers in Computer Networks and Communications. Recurrent topics in Liang Chang's work include Advanced Graph Neural Networks (25 papers), Recommender Systems and Techniques (21 papers) and Topic Modeling (16 papers). Liang Chang is often cited by papers focused on Advanced Graph Neural Networks (25 papers), Recommender Systems and Techniques (21 papers) and Topic Modeling (16 papers). Liang Chang collaborates with scholars based in China, Australia and United States. Liang Chang's co-authors include Yining Liu, Tianlong Gu, Tianlong Gu, Cheng Chi, Li Li, Chun‐I Fan, Wei Guo, Huifang Ma, Lirong Dou and Zhixin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Atmospheric Environment.

In The Last Decade

Liang Chang

192 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liang Chang China 23 914 488 343 248 239 210 2.1k
M. Srinivas India 17 641 0.7× 244 0.5× 384 1.1× 237 1.0× 143 0.6× 76 2.5k
Vicente Botti Spain 25 800 0.9× 264 0.5× 376 1.1× 88 0.4× 278 1.2× 166 2.2k
Siqi Ma China 28 824 0.9× 486 1.0× 268 0.8× 345 1.4× 478 2.0× 148 2.8k
Guijun Wang United States 31 332 0.4× 323 0.7× 310 0.9× 110 0.4× 304 1.3× 169 3.4k
K.K. Shukla India 27 314 0.3× 185 0.4× 210 0.6× 338 1.4× 218 0.9× 173 2.3k
Huajun Chen China 33 2.3k 2.5× 580 1.2× 338 1.0× 447 1.8× 175 0.7× 206 3.7k
Yannan Li China 31 1.2k 1.3× 1.4k 2.8× 529 1.5× 171 0.7× 172 0.7× 109 2.6k
Takashi Washio Japan 20 618 0.7× 385 0.8× 181 0.5× 238 1.0× 87 0.4× 177 1.8k
Huanhuan Chen China 35 1.7k 1.9× 319 0.7× 152 0.4× 636 2.6× 306 1.3× 226 4.1k
Wei Pang China 23 1.0k 1.1× 138 0.3× 171 0.5× 387 1.6× 100 0.4× 176 2.3k

Countries citing papers authored by Liang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Chang. A scholar is included among the top collaborators of Liang 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 Liang Chang. Liang 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
1.
Liu, Wenqiang, et al.. (2025). FairCoRe: Fairness-aware Recommendation through Counterfactual Representation Learning. IEEE Transactions on Knowledge and Data Engineering. 1–14. 1 indexed citations
2.
Chang, Liang, et al.. (2025). Development and validation of a human lumbar spine finite element model based on an automated process: Application to disc degeneration. Biomedical Signal Processing and Control. 105. 107547–107547. 3 indexed citations
3.
Chang, Liang, et al.. (2025). The Probabilistic Combinatorial Attacks on Atmospheric Continuous-Variable Quantum Secret Sharing. IEEE Transactions on Communications. 73(11). 11769–11783.
4.
5.
Tong, Haibin, et al.. (2024). Crucial rather than random: Attacking crucial substructure for backdoor attacks on graph neural networks. Engineering Applications of Artificial Intelligence. 136. 108966–108966.
6.
Zhang, Lei, et al.. (2024). Multi-Granularity Ensemble Interaction Graph Modeling for Knowledge Tracing. Knowledge-Based Systems. 309. 112834–112834. 3 indexed citations
7.
Xu, Guizhi, Xiaoze Du, Liang Chang, Xiao Hu, & Jie Song. (2024). Effect of molding temperature on the properties of phenolic resin/carbon black/graphite composite bipolar plates. Journal of Solid State Electrochemistry. 28(8). 2505–2513. 6 indexed citations
8.
Zhai, Xiaosong, et al.. (2024). Effects of starch filling on physicochemical properties, functional activities, and release characteristics of PBAT-based biodegradable active films loaded with tea polyphenols. International Journal of Biological Macromolecules. 277(Pt 3). 134505–134505. 18 indexed citations
9.
Feng, Xuan, Tianlong Gu, Liang Chang, & Xiaoli Liu. (2024). PROTECT: Parameter-Efficient Tuning for Few-Shot Robust Chinese Text Correction. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3270–3282.
10.
Li, Jiayang, Xuan Feng, Tianlong Gu, & Liang Chang. (2024). Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection. 3627–3639. 2 indexed citations
11.
Ma, Huifang, et al.. (2023). Attributed multi-query community search via random walk similarity. Information Sciences. 631. 91–107. 6 indexed citations
12.
Liu, Tieyuan, et al.. (2023). Iterative heterogeneous graph learning for knowledge graph-based recommendation. Scientific Reports. 13(1). 6987–6987. 6 indexed citations
13.
Ma, Huifang, et al.. (2023). Question-response representation with dual-level contrastive learning for improving knowledge tracing. Information Sciences. 658. 120032–120032. 5 indexed citations
14.
Ma, Huifang, et al.. (2023). Dual graph attention networks for multi-behavior recommendation. International Journal of Machine Learning and Cybernetics. 14(8). 2831–2846. 4 indexed citations
15.
Gu, Tianlong, et al.. (2021). Combining user-end and item-end knowledge graph learning for personalized recommendation. Journal of Intelligent & Fuzzy Systems. 40(5). 9213–9225. 4 indexed citations
16.
Han, Yinhe, et al.. (2021). Search-Free Inference Acceleration for Sparse Convolutional Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(7). 2156–2169. 2 indexed citations
17.
Luo, Xiaonan, Zhihao Li, Minfeng Zhu, et al.. (2019). FBVA: A Flow-Based Visual Analytics Approach for Citywide Crowd Mobility. IEEE Transactions on Computational Social Systems. 6(2). 277–288. 9 indexed citations
18.
Liu, Gaiyun, et al.. (2019). Robust deadlock control for automated manufacturing systems based on elementary siphon theory. Information Sciences. 510. 165–182. 21 indexed citations
19.
Gu, Tianlong, et al.. (2011). The Symbolic OBDD Algorithm for Finding Optimal Semi-matching in Bipartite Graphs. Communications and Network. 3(2). 65–72.
20.
Chang, Liang, et al.. (2007). Dynamic Description Logic: Embracing Actions into Description Logic.. Description Logics. 12 indexed citations

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

Breakdown of academic impact, for papers by M. Srinivas Breakdown of academic impact, for papers by Vicente Botti Breakdown of academic impact, for papers by Siqi Ma Breakdown of academic impact, for papers by Guijun Wang Breakdown of academic impact, for papers by K.K. Shukla Breakdown of academic impact, for papers by Huajun Chen Breakdown of academic impact, for papers by Yannan Li Breakdown of academic impact, for papers by Takashi Washio Breakdown of academic impact, for papers by Huanhuan Chen Breakdown of academic impact, for papers by Wei Pang
Rankless by CCL
2026