Heng Chang

973 total citations
39 papers, 409 citations indexed

About

Heng Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Heng Chang has authored 39 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Mechanical Engineering. Recurrent topics in Heng Chang's work include Advanced Graph Neural Networks (15 papers), Topic Modeling (7 papers) and Manufacturing Process and Optimization (4 papers). Heng Chang is often cited by papers focused on Advanced Graph Neural Networks (15 papers), Topic Modeling (7 papers) and Manufacturing Process and Optimization (4 papers). Heng Chang collaborates with scholars based in China, United States and Hong Kong. Heng Chang's co-authors include Wenwu Zhu, Yu Rong, Junzhou Huang, Tingyang Xu, Wenbing Huang, Richard A. Wysk, Jia Li, Honglei Zhang, Peng Cui and Hsu‐Pin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Hydrogen Energy.

In The Last Decade

Heng Chang

38 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heng Chang China	12	236	84	70	66	56	39	409
Tatiana Baidyk Mexico	9	118 0.5×	96 1.1×	41 0.6×	19 0.3×	13 0.2×	21	308
Yijie Zeng Singapore	9	195 0.8×	95 1.1×	16 0.2×	9 0.1×	14 0.3×	20	285
Guowei Xu China	11	53 0.2×	55 0.7×	51 0.7×	16 0.2×	7 0.1×	33	299
Zhenhua Huang China	10	203 0.9×	44 0.5×	20 0.3×	16 0.2×	5 0.1×	23	408
Mingxing Duan China	10	193 0.8×	146 1.7×	10 0.1×	14 0.2×	10 0.2×	33	408
Roland Hafner Germany	6	266 1.1×	66 0.8×	31 0.4×	15 0.2×	4 0.1×	15	410
Azade Nova United States	3	95 0.4×	28 0.3×	22 0.3×	44 0.7×	6 0.1×	6	324
Drew Bagnell United States	10	200 0.8×	105 1.3×	21 0.3×	17 0.3×	7 0.1×	12	331
Omkar Pathak United States	3	92 0.4×	33 0.4×	22 0.3×	45 0.7×	6 0.1×	4	327
Andrea Caponio Italy	6	299 1.3×	68 0.8×	32 0.5×	32 0.5×	5 0.1×	8	497

Countries citing papers authored by Heng Chang

Since Specialization

Citations

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

Fields of papers citing papers by Heng Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Chang

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

All Works

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20 of 20 papers shown

Dong, Xuan, et al.. (2025). From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities. 8617–8652. 1 indexed citations

Zhang, Xinni, et al.. (2025). G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 240–251. 1 indexed citations

Zhou, Jun, et al.. (2025). Highway hydrogen refueling station siting considering hydrogen sources, transportation and station type. Renewable Energy. 247. 123025–123025. 2 indexed citations

Lü, Weiming, et al.. (2024). Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering. 1698–1710. 2 indexed citations

Yu, Weijiang, et al.. (2024). CodeSwap: Symmetrically Face Swapping Based on Prior Codebook. 6910–6919. 2 indexed citations

Bian, Tian, Yifan Niu, Heng Chang, et al.. (2024). Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 130–140. 2 indexed citations

Chang, Heng, et al.. (2024). Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. arXiv (Cornell University). 3563–3573. 2 indexed citations

Zhang, Xingyuan, et al.. (2024). Average Age of Information for Multi-Source Single Buffer Preemption Queueing Model with Packet Dropping in Service. 1–5.

Chang, Heng, et al.. (2024). Hyperbolic Contrastive Learning for Cross-Domain Recommendation. 2920–2929. 4 indexed citations

10.

Chang, Heng, Ziwei Zhang, Xin Wang, et al.. (2023). Adversarially Robust Neural Architecture Search for Graph Neural Networks. 8143–8152. 11 indexed citations

11.

Chang, Heng, et al.. (2023). Knowledge Graph Completion with Counterfactual Augmentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2611–2620. 19 indexed citations

12.

Li, Jia, et al.. (2022). Semi-Supervised Hierarchical Graph Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–12. 24 indexed citations

13.

Chang, Heng, Yu Rong, Tingyang Xu, et al.. (2021). Not All Low-Pass Filters are Robust in Graph Convolutional Networks. Neural Information Processing Systems. 34. 14 indexed citations

14.

Chang, Heng, Yu Rong, Tingyang Xu, et al.. (2021). Spectral Graph Attention Network with Fast Eigen-approximation. 2905–2909. 18 indexed citations

15.

Jin, Ming, Heng Chang, Wenwu Zhu, & Somayeh Sojoudi. (2021). Power up! Robust Graph Convolutional Network via Graph Powering. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 8004–8012. 13 indexed citations

16.

Chang, Heng, et al.. (2020). Implicit Graph Neural Networks. arXiv (Cornell University). 33. 11984–11995. 2 indexed citations

17.

Shi, Xiaomeng, Heng Chang, Shuqi Xue, Jie Bao, & Hao Zhang. (2020). Serious Games for Transportation Research: An Overview. CICTP 2020. 4462–4472. 3 indexed citations

18.

Chang, Heng, Yu Rong, Tingyang Xu, et al.. (2019). The General Black-box Attack Method for Graph Neural Networks.. arXiv (Cornell University). 3 indexed citations

19.

Hu, Shoukang, Shansong Liu, Heng Chang, et al.. (2019). The CUHK Dysarthric Speech Recognition Systems for English and Cantonese.. Conference of the International Speech Communication Association. 3669–3670. 11 indexed citations

20.

Chang, Heng & T. W. Lin. (1993). Evaluation of circularity tolerance using Monte Carlo simulation for coordinate measuring machine. International Journal of Production Research. 31(9). 2079–2086. 20 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.

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