Mengmeng Jing

1.5k total citations
29 papers, 797 citations indexed

About

Mengmeng Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Mengmeng Jing has authored 29 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 4 papers in Cancer Research. Recurrent topics in Mengmeng Jing's work include Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Neural Network Applications (6 papers). Mengmeng Jing is often cited by papers focused on Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Neural Network Applications (6 papers). Mengmeng Jing collaborates with scholars based in China, Australia and United States. Mengmeng Jing's co-authors include Jingjing Li, Ke Lü, Lei Zhu, Heng Tao Shen, Yang Yang, Lei Zhu, Zi Huang, Hongzu Su, Zhengming Ding and Jidong Zhao and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Information Sciences.

In The Last Decade

Mengmeng Jing

23 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengmeng Jing China	15	619	420	90	86	77	29	797
Mahsa Baktashmotlagh Australia	15	580 0.9×	482 1.1×	28 0.3×	68 0.8×	46 0.6×	39	945
Yuguang Yan China	16	506 0.8×	290 0.7×	51 0.6×	45 0.5×	37 0.5×	38	718
Xide Xia United States	5	866 1.4×	678 1.6×	17 0.2×	88 1.0×	79 1.0×	5	1.1k
Hemanth Venkateswara United States	8	1.3k 2.0×	867 2.1×	19 0.2×	163 1.9×	128 1.7×	19	1.4k
Xingchao Peng United States	7	980 1.6×	845 2.0×	13 0.1×	100 1.2×	105 1.4×	9	1.3k
Qinxun Bai United States	6	811 1.3×	710 1.7×	12 0.1×	87 1.0×	79 1.0×	8	1.1k
Yaoyao Liu Germany	5	683 1.1×	474 1.1×	23 0.3×	43 0.5×	123 1.6×	6	923
Junbao Zhuo China	7	499 0.8×	405 1.0×	13 0.1×	50 0.6×	65 0.8×	19	656
Yao-Hung Hubert Tsai United States	11	495 0.8×	322 0.8×	18 0.2×	60 0.7×	46 0.6×	24	622

Countries citing papers authored by Mengmeng Jing

Since Specialization

Citations

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

Fields of papers citing papers by Mengmeng Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengmeng Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Mengmeng Jing. A scholar is included among the top collaborators of Mengmeng Jing 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 Mengmeng Jing. Mengmeng Jing 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

Zuo, Lin, et al.. (2025). Bridging Inter-Class Ambiguity and Spatial Variability in Flexible Object Recognition via Graph Distillation. 9035–9043.

Yang, K. T., et al.. (2025). Adaptive recognition of flexible objects via hierarchical deformable graph network. Information Sciences. 721. 122560–122560.

Yang, K. T., et al.. (2025). Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6424–6436. 2 indexed citations

Zuo, Lin, et al.. (2024). Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11811–11819. 10 indexed citations

Jing, Mengmeng, et al.. (2024). A Study of Lightweight, Low-cost Quadrupedal Robot Body Based on a Coaxial Deformation Mechanism. 1320–1325.

Jing, Mengmeng, et al.. (2024). Style-Guided Adversarial Teacher for Cross-Domain Object Detection. Electronics. 13(5). 862–862. 2 indexed citations

Jing, Mengmeng, Jingjing Li, Ke Lü, Lei Zhu, & Heng Tao Shen. (2024). Visually Source-Free Domain Adaptation via Adversarial Style Matching. IEEE Transactions on Image Processing. 33. 1032–1044. 3 indexed citations

Jing, Mengmeng, Xiantong Zhen, Jingjing Li, & Cees G. M. Snoek. (2023). Order-preserving Consistency Regularization for Domain Adaptation and Generalization. 18870–18881. 2 indexed citations

Jing, Mengmeng, et al.. (2022). Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation. IEEE Transactions on Multimedia. 25. 2559–2572. 32 indexed citations

10.

Li, Jingjing, Mengmeng Jing, Ke Lü, Lei Zhu, & Heng Tao Shen. (2021). Investigating the Bilateral Connections in Generative Zero-Shot Learning. IEEE Transactions on Cybernetics. 52(8). 8167–8178. 34 indexed citations

11.

Jing, Mengmeng, et al.. (2021). Open Set Domain Adaptation via Joint Alignment and Category Separation. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6186–6199. 14 indexed citations

12.

Jing, Mengmeng, Jingjing Li, Ke Lü, Lei Zhu, & Yang Yang. (2020). Learning explicitly transferable representations for domain adaptation. Neural Networks. 130. 39–48. 19 indexed citations

13.

Zuo, Lin, Mengmeng Jing, Jingjing Li, et al.. (2020). Challenging tough samples in unsupervised domain adaptation. Pattern Recognition. 110. 107540–107540. 31 indexed citations

14.

Jing, Mengmeng, et al.. (2020). Multi-source domain adaptation with graph embedding and adaptive label prediction. Information Processing & Management. 57(6). 102367–102367. 21 indexed citations

15.

Jing, Mengmeng, et al.. (2019). Adaptive Component Embedding for Unsupervised Domain Adaptation. 6. 1660–1665. 2 indexed citations

16.

Li, Jingjing, Mengmeng Jing, Ke Lü, et al.. (2019). From Zero-Shot Learning to Cold-Start Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4189–4196. 92 indexed citations

17.

Li, Jingjing, et al.. (2019). Agile Domain Adaptation. 6. 1–8. 3 indexed citations

18.

Li, Jingjing, Mengmeng Jing, Ke Lü, Lei Zhu, & Heng Tao Shen. (2019). Locality Preserving Joint Transfer for Domain Adaptation. IEEE Transactions on Image Processing. 28(12). 6103–6115. 215 indexed citations

19.

Li, Jingjing, Mengmeng Jing, Ke Lü, et al.. (2019). Alleviating Feature Confusion for Generative Zero-shot Learning. 1587–1595. 56 indexed citations

20.

Li, Jingjing, Mengmeng Jing, Ke Lü, et al.. (2019). Leveraging the Invariant Side of Generative Zero-Shot Learning. Queensland's institutional digital repository (The University of Queensland). 5 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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