Changqin Huang

4.8k total citations · 2 hit papers
143 papers, 3.2k citations indexed

About

Changqin Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Changqin Huang has authored 143 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 31 papers in Information Systems. Recurrent topics in Changqin Huang's work include Online Learning and Analytics (22 papers), Innovative Teaching and Learning Methods (17 papers) and Online and Blended Learning (14 papers). Changqin Huang is often cited by papers focused on Online Learning and Analytics (22 papers), Innovative Teaching and Learning Methods (17 papers) and Online and Blended Learning (14 papers). Changqin Huang collaborates with scholars based in China, Australia and United States. Changqin Huang's co-authors include Ming Li, Zhongmei Han, Qionghao Huang, Anfeng Liu, Xizhe Wang, Yong Hu, Zhiyong Lin, Shixian Li, Jianfeng Wen and Jia Zhu and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Changqin Huang

134 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Systematic literature review of machine learning based software development effort estimation models

2011 386 citations Changqin Huang et al. profile →
FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation

2025 17 citations Ming Li, Changqin Huang et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changqin Huang China	32	1.0k	758	566	501	465	143	3.2k
Ruimin Shen China	24	698 0.7×	804 1.1×	221 0.4×	572 1.1×	282 0.6×	115	2.5k
Mirjana Ivanović Serbia	28	1.5k 1.5×	1.1k 1.4×	400 0.7×	424 0.8×	850 1.8×	246	3.4k
Zhendong Niu China	34	1.9k 1.9×	1.8k 2.4×	360 0.6×	437 0.9×	645 1.4×	226	4.0k
David Camacho Spain	32	1.7k 1.7×	734 1.0×	827 1.5×	742 1.5×	115 0.2×	265	4.4k
Douglas Fisher United States	22	2.2k 2.2×	1.3k 1.7×	345 0.6×	475 0.9×	242 0.5×	78	3.8k
Mykola Pechenizkiy Netherlands	31	3.5k 3.5×	951 1.3×	806 1.4×	537 1.1×	580 1.2×	206	5.7k
Eleni Stroulia Canada	35	1.4k 1.3×	2.6k 3.4×	1.0k 1.8×	412 0.8×	404 0.9×	265	4.8k
Vic Callaghan United Kingdom	25	855 0.8×	474 0.6×	576 1.0×	1.1k 2.3×	232 0.5×	165	3.3k
K. Robert Lai Taiwan	28	1.2k 1.2×	349 0.5×	211 0.4×	128 0.3×	246 0.5×	147	2.7k
Fabio Paternò Italy	32	925 0.9×	1.0k 1.4×	384 0.7×	961 1.9×	346 0.7×	257	4.0k

Countries citing papers authored by Changqin Huang

Since Specialization

Citations

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

Fields of papers citing papers by Changqin Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changqin Huang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Yi, et al.. (2025). A feature reuse framework with texture-adaptive aggregation for reference-based super-resolution. Knowledge-Based Systems. 314. 113201–113201.

Chen, Jili, et al.. (2025). Empowering Personalized Learning with Generative Artificial Intelligence: Mechanisms, Challenges and Pathways. 2(2). 5 indexed citations

Chen, Jili, Qionghao Huang, Changqin Huang, & Xiaodi Huang. (2025). Actual Cause-Guided Adaptive Gradient Scaling for Balanced Multimodal Sentiment Analysis. ACM Transactions on Multimedia Computing Communications and Applications. 21(6). 1–24. 1 indexed citations

Huang, Changqin, et al.. (2025). PAMoE-MSA: polarity-aware mixture of experts network for multimodal sentiment analysis. International Journal of Multimedia Information Retrieval. 14(1). 2 indexed citations

Wang, Qiyun, et al.. (2025). Facilitating Students’ Emotional Engagement in Synchronous Online Learning: A Systematic Literature Review. The International Review of Research in Open and Distributed Learning. 26(1). 261–282. 1 indexed citations

Wang, Yi, Changqin Huang, Ming Li, et al.. (2024). AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs. Pattern Recognition. 151. 110387–110387. 1 indexed citations

Wang, Liang-Hui, et al.. (2024). Implementing a Social Presence-Based Teaching Strategy in Online Lecture Learning. European Journal of Investigation in Health Psychology and Education. 14(9). 2580–2597. 1 indexed citations

Huang, Changqin, Jianhui Yu, Fei Wu, Yi Wang, & Nian‐Shing Chen. (2024). Uncovering emotion sequence patterns in different interaction groups using deep learning and sequential pattern mining. Journal of Computer Assisted Learning. 40(4). 1777–1790. 3 indexed citations

Huang, Changqin, Qionghao Huang, Xiaodi Huang, et al.. (2024). XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts. IEEE Transactions on Knowledge and Data Engineering. 36(11). 7308–7325. 16 indexed citations

10.

Huang, Changqin, et al.. (2024). Learning consistent representations with temporal and causal enhancement for knowledge tracing. Expert Systems with Applications. 245. 123128–123128. 25 indexed citations

11.

Huang, Changqin, et al.. (2023). TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis. Knowledge-Based Systems. 269. 110502–110502. 50 indexed citations

12.

Zhou, Siwei, et al.. (2023). Emotion Recognition from Large-Scale Video Clips with Cross-Attention and Hybrid Feature Weighting Neural Networks. International Journal of Environmental Research and Public Health. 20(2). 1400–1400. 15 indexed citations

13.

Li, Ming, Yuting Chen, Changqin Huang, Gwo‐Jen Hwang, & Mutlu Cukurova. (2023). From motivational experience to creative writing: A motivational AR-based learning approach to promoting Chinese writing performance and positive writing behaviours. Computers & Education. 202. 104844–104844. 26 indexed citations

14.

Zhu, Jia, et al.. (2023). Stable Knowledge Tracing Using Causal Inference. IEEE Transactions on Learning Technologies. 17. 124–134. 11 indexed citations

15.

Huang, Changqin, Ming Li, Feilong Cao, et al.. (2022). Are Graph Convolutional Networks With Random Weights Feasible?. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 2751–2768. 95 indexed citations

16.

Huang, Changqin, et al.. (2021). Exploring the Relationships between Achievement Goals, Community Identification and Online Collaborative Reflection: A Deep Learning and Bayesian Approach. SHILAP Revista de lepidopterología. 18 indexed citations

17.

Zhu, Jia, et al.. (2019). Protein Complexes Detection Based on Semi-Supervised Network Embedding Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(2). 797–803. 13 indexed citations

18.

Li, Jingjing, et al.. (2018). An Improved MOEA/D Based on Reference Distance for Software Project Portfolio Optimization. Complexity. 2018(1). 13 indexed citations

19.

Ma, Fulong, Xiao Liu, Anfeng Liu, et al.. (2018). A Time and Location Correlation Incentive Scheme for Deep Data Gathering in Crowdsourcing Networks. Wireless Communications and Mobile Computing. 2018(1). 34 indexed citations

20.

Zhao, Gansen, et al.. (2016). Large-scale topic community mining based on distributed nonnegative matrix factorization. Scientia Sinica Informationis. 46(6). 714–728. 1 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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