Zhendong Mao

6.3k total citations · 3 hit papers
110 papers, 3.7k citations indexed

About

Zhendong Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Zhendong Mao has authored 110 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 57 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Zhendong Mao's work include Multimodal Machine Learning Applications (37 papers), Advanced Image and Video Retrieval Techniques (37 papers) and Topic Modeling (25 papers). Zhendong Mao is often cited by papers focused on Multimodal Machine Learning Applications (37 papers), Advanced Image and Video Retrieval Techniques (37 papers) and Topic Modeling (25 papers). Zhendong Mao collaborates with scholars based in China, United States and France. Zhendong Mao's co-authors include Quan Wang, Li Guo, Bin Wang, Yongdong Zhang, Hongtao Xie, An-An Liu, Tianzhu Zhang, Chunxiao Liu, Kun Zhang and Shancheng Fang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and ACS Applied Materials & Interfaces.

In The Last Decade

Zhendong Mao

98 papers receiving 3.6k citations

Hit Papers

Knowledge Graph Embedding: A Survey of Approaches and App... 2017 2026 2020 2023 2017 2021 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhendong Mao China 22 2.3k 1.7k 424 269 221 110 3.7k
Xing Wei China 24 2.1k 0.9× 1.8k 1.0× 673 1.6× 150 0.6× 146 0.7× 102 3.7k
Peng Zhou China 21 1.7k 0.7× 760 0.4× 239 0.6× 101 0.4× 209 0.9× 89 2.5k
Ziyu Guan China 28 1.6k 0.7× 1.1k 0.6× 923 2.2× 194 0.7× 81 0.4× 133 2.9k
Jin Huang China 21 1.2k 0.5× 720 0.4× 660 1.6× 146 0.5× 98 0.4× 90 2.3k
Jinfeng Yi United States 23 1.9k 0.8× 719 0.4× 191 0.5× 95 0.4× 161 0.7× 58 2.6k
Minnan Luo China 25 1.5k 0.6× 999 0.6× 390 0.9× 68 0.3× 114 0.5× 96 2.4k
Qingyao Wu China 31 1.9k 0.8× 1.7k 1.0× 203 0.5× 50 0.2× 224 1.0× 116 3.4k
Bowen Zhou United States 32 4.6k 2.0× 915 0.5× 662 1.6× 243 0.9× 240 1.1× 157 5.3k
Xu Sun China 33 2.7k 1.1× 934 0.5× 443 1.0× 187 0.7× 169 0.8× 116 3.3k
Wenyuan Dai China 17 2.0k 0.9× 822 0.5× 370 0.9× 78 0.3× 80 0.4× 30 2.9k

Countries citing papers authored by Zhendong Mao

Since Specialization
Citations

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

Fields of papers citing papers by Zhendong Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhendong Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhendong Mao. A scholar is included among the top collaborators of Zhendong Mao 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 Zhendong Mao. Zhendong Mao 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.
Mao, Zhendong, Heng Liu, Shun Wan, et al.. (2025). ∼100% enhancement of cryogenic thermoelectric performance of Bi 80 Sb 20 alloys by incorporation of Fe 3 O 4 nanoparticles. Journal of Materials Chemistry A. 13(39). 33326–33337.
5.
Li, Jiahao, Zhendong Mao, & Quan Wang. (2025). Alleviating Hallucinations in Large Language Models via Truthfulness-driven Rank-adaptive LoRA. 2020–2031. 1 indexed citations
6.
Li, Zhe, Lei Zhang, Kun Zhang, Yongdong Zhang, & Zhendong Mao. (2024). Fast, Accurate, and Lightweight Memory-Enhanced Embedding Learning Framework for Image-Text Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 6542–6558. 10 indexed citations
7.
Li, Zhe, Lei Zhang, Kun Zhang, Yongdong Zhang, & Zhendong Mao. (2024). Improving Image-Text Matching With Bidirectional Consistency of Cross-Modal Alignment. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 6590–6607. 12 indexed citations
8.
Chen, Zhuowei, Shancheng Fang, Wei Liu, et al.. (2024). DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1281–1289. 7 indexed citations
11.
Wang, Ting, Weidong Chen, Yuanhe Tian, Yan Song, & Zhendong Mao. (2023). Improving Image Captioning via Predicting Structured Concepts. 360–370. 7 indexed citations
12.
Wang, Quan, et al.. (2023). Text Style Transfer with Contrastive Transfer Pattern Mining. 7914–7927.
13.
Zhang, Kun, et al.. (2023). Enhanced Semantic Similarity Learning Framework for Image-Text Matching. IEEE Transactions on Circuits and Systems for Video Technology. 34(4). 2973–2988. 13 indexed citations
14.
Xu, Benfeng, et al.. (2023). On the Calibration of Large Language Models and Alignment. 9778–9795. 4 indexed citations
15.
Xu, Benfeng, et al.. (2022). UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. 7087–7099. 26 indexed citations
17.
Mao, Zhendong, et al.. (2021). Semantically Similarity-Wise Dual-Branch Network for Scene Graph Generation. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4573–4583. 13 indexed citations
18.
Li, Wenhui, An-An Liu, Zan Gao, et al.. (2021). Joint Local Correlation and Global Contextual Information for Unsupervised 3D Model Retrieval and Classification. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 3265–3278. 16 indexed citations
19.
Xu, Ning, An-An Liu, Chenggang Yan, et al.. (2021). Mask and Predict. 4128–4136. 9 indexed citations
20.
Cao, Juan, Yongdong Zhang, Bailan Feng, et al.. (2009). TRECVID 2009 of MCG-ICT-CAS.. TRECVID. 4 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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