Zheng-Jun Zha

19.3k total citations · 3 hit papers
380 papers, 12.0k citations indexed

About

Zheng-Jun Zha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zheng-Jun Zha has authored 380 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 332 papers in Computer Vision and Pattern Recognition, 128 papers in Artificial Intelligence and 40 papers in Media Technology. Recurrent topics in Zheng-Jun Zha's work include Advanced Image and Video Retrieval Techniques (97 papers), Multimodal Machine Learning Applications (85 papers) and Human Pose and Action Recognition (63 papers). Zheng-Jun Zha is often cited by papers focused on Advanced Image and Video Retrieval Techniques (97 papers), Multimodal Machine Learning Applications (85 papers) and Human Pose and Action Recognition (63 papers). Zheng-Jun Zha collaborates with scholars based in China, Singapore and United States. Zheng-Jun Zha's co-authors include Meng Wang, Tat‐Seng Chua, Yongdong Zhang, Xueyang Fu, Jiebo Luo, Tao Mei, Yue Gao, Hongtao Xie, Richang Hong and Hanwang Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Zheng-Jun Zha

362 papers receiving 11.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

2012 357 citations Zheng-Jun Zha et al. IEEE Transactions on Image Processing profile →
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition

2019 327 citations Zheng-Jun Zha et al. profile →
Image De-Raining Transformer

2022 174 citations Xueyang Fu, Zheng-Jun Zha et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zheng-Jun Zha China	60	9.3k	3.7k	1.5k	940	633	380	12.0k
Qi Tian China	57	9.7k 1.0×	3.1k 0.8×	1.2k 0.8×	1.5k 1.5×	559 0.9×	426	12.0k
Xian‐Sheng Hua China	55	9.6k 1.0×	4.3k 1.2×	800 0.5×	770 0.8×	972 1.5×	396	12.6k
Anton van den Hengel Australia	52	9.2k 1.0×	5.2k 1.4×	1.3k 0.9×	763 0.8×	905 1.4×	239	13.2k
Jun Yu China	44	6.8k 0.7×	3.4k 0.9×	948 0.6×	501 0.5×	325 0.5×	276	9.5k
Yu–Gang Jiang China	56	8.5k 0.9×	4.5k 1.2×	625 0.4×	640 0.7×	676 1.1×	289	12.5k
Xiaojun Chang China	56	6.8k 0.7×	5.6k 1.5×	866 0.6×	533 0.6×	820 1.3×	290	12.7k
Yihong Gong China	52	11.5k 1.2×	5.3k 1.4×	1.9k 1.3×	1.1k 1.2×	690 1.1×	223	15.6k
Yong Rui China	55	11.1k 1.2×	3.4k 0.9×	1.0k 0.7×	416 0.4×	659 1.0×	203	13.3k
Yueting Zhuang China	50	7.4k 0.8×	4.1k 1.1×	576 0.4×	520 0.6×	773 1.2×	378	10.3k
Nenghai Yu China	59	9.2k 1.0×	4.1k 1.1×	855 0.6×	415 0.4×	1.6k 2.5×	542	13.4k

Countries citing papers authored by Zheng-Jun Zha

Since Specialization

Citations

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

Fields of papers citing papers by Zheng-Jun Zha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zheng-Jun Zha. 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 Zheng-Jun Zha. The network helps show where Zheng-Jun Zha may publish in the future.

Co-authorship network of co-authors of Zheng-Jun Zha

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng-Jun Zha. A scholar is included among the top collaborators of Zheng-Jun Zha 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 Zheng-Jun Zha. Zheng-Jun Zha 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

Wang, Kunyu, et al.. (2025). Efficient Test-Time Adaptive Object Detection via Sensitivity-Guided Pruning. 10577–10586.

Fu, Xueyang, et al.. (2024). Neuromorphic Event Signal-Driven Network for Video De-raining. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1878–1886. 4 indexed citations

Tu, Yunbin, et al.. (2024). SMART: Syntax-Calibrated Multi-Aspect Relation Transformer for Change Captioning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4926–4943. 20 indexed citations

Liu, Jiawei, et al.. (2024). ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking. 2429–2440. 3 indexed citations

Zhai, Wei, et al.. (2024). Event-based asynchronous HDR imaging by temporal incident light modulation. Optics Express. 32(11). 18527–18527. 2 indexed citations

Liu, Jiawei, et al.. (2023). ECENet: Explainable and Context-Enhanced Network for Muti-modal Fact verification. 1231–1240. 9 indexed citations

Liu, Jiawei, et al.. (2023). Unleashing Knowledge Potential of Source Hypothesis for Source-Free Domain Adaptation. IEEE Transactions on Multimedia. 26. 5422–5434. 2 indexed citations

Li, Liang, et al.. (2023). MaTCR: Modality-Aligned Thought Chain Reasoning for Multimodal Task-Oriented Dialogue Generation. 5776–5785. 2 indexed citations

Liu, Jiawei, et al.. (2023). Hierarchical Semantic Enhancement Network for Multimodal Fake News Detection. 3424–3433. 6 indexed citations

10.

Zhu, K. J., Kecheng Zheng, Ruili Feng, et al.. (2023). Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning. 19147–19156. 3 indexed citations

11.

Wang, Guangting, et al.. (2021). Self-Supervised Visual Representations Learning by Contrastive Mask Prediction. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10140–10149. 19 indexed citations

12.

Wu, Lin, Yang Wang, Junbin Gao, et al.. (2020). Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification. IEEE Transactions on Neural Networks and Learning Systems. 32(2). 722–735. 59 indexed citations

13.

Min, Shaobo, et al.. (2020). Hierarchical Granularity Transfer Learning. Neural Information Processing Systems. 33. 11650–11661. 2 indexed citations

14.

Zhang, Wei, Xuanyu He, Xiaodong Yu, et al.. (2019). A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos. IEEE Transactions on Image Processing. 29. 3365–3373. 33 indexed citations

15.

Liu, Chuanbin, Hongtao Xie, Zheng-Jun Zha, et al.. (2019). Bidirectional Attention-Recognition Model for Fine-Grained Object Classification. IEEE Transactions on Multimedia. 22(7). 1785–1795. 40 indexed citations

16.

Yang, Tianhao, Zheng-Jun Zha, & Hanwang Zhang. (2019). Making History Matter: History-Advantage Sequence Training for Visual Dialog. 2561–2569. 36 indexed citations

17.

Liu, Dong, Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, & Wenjun Zeng. (2017). Adaptive Pooling in Multi-instance Learning for Web Video Annotation. 318–327. 24 indexed citations

18.

Yu, Jianxing, Zheng-Jun Zha, & Tat‐Seng Chua. (2012). Answering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews. National University of Singapore. 391–401. 23 indexed citations

19.

Yu, Jianxing, Zheng-Jun Zha, Meng Wang, Kai Wang, & Tat‐Seng Chua. (2011). Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews. National University of Singapore. 140–150. 45 indexed citations

20.

Mei, Tao, Zheng-Jun Zha, Yuan Liu, et al.. (2008). MSRA atT TRECVID 2008: High-Level Feature Extraction and Automatic Search.. TRECVID. 10 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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