Mengmi Zhang

446 total citations
21 papers, 227 citations indexed

About

Mengmi Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Mengmi Zhang has authored 21 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Human-Computer Interaction. Recurrent topics in Mengmi Zhang's work include Multimodal Machine Learning Applications (9 papers), Visual Attention and Saliency Detection (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Mengmi Zhang is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Visual Attention and Saliency Detection (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Mengmi Zhang collaborates with scholars based in Singapore, United States and China. Mengmi Zhang's co-authors include Joo‐Hwee Lim, Jiashi Feng, Qi Zhao, Keng Teck, Gabriel Kreiman, Claire Tseng, Zenglin Shi, Ying Sun, Feng Lin and Ben M. Chen and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and PLoS Computational Biology.

In The Last Decade

Mengmi Zhang

18 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengmi Zhang Singapore	9	168	56	36	29	27	21	227
Shuhan Chen China	8	252 1.5×	52 0.9×	51 1.4×	16 0.6×	28 1.0×	18	323
Fushuo Huo China	8	257 1.5×	47 0.8×	34 0.9×	15 0.5×	47 1.7×	14	326
Yanjiao Shi China	11	246 1.5×	51 0.9×	42 1.2×	14 0.5×	24 0.9×	40	320
Stefan Mathe Sweden	5	233 1.4×	59 1.1×	29 0.8×	54 1.9×	13 0.5×	5	265
Ryota Suzuki Japan	9	124 0.7×	43 0.8×	20 0.6×	33 1.1×	14 0.5×	35	232
Yupeng Cheng China	6	300 1.8×	31 0.6×	73 2.0×	38 1.3×	26 1.0×	9	341
Ge Li China	8	230 1.4×	14 0.3×	37 1.0×	24 0.8×	21 0.8×	27	270
Sebastian Otte Germany	9	56 0.3×	75 1.3×	32 0.9×	5 0.2×	23 0.9×	30	219
Purnawarman Musa Indonesia	8	132 0.8×	49 0.9×	15 0.4×	11 0.4×	15 0.6×	35	277
Mikhail Sizintsev Canada	11	308 1.8×	62 1.1×	23 0.6×	37 1.3×	72 2.7×	24	356

Countries citing papers authored by Mengmi Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Mengmi Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengmi Zhang

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

Shi, Zenglin, et al.. (2025). Unveiling the Tapestry: The Interplay of Generalization and Forgetting in Continual Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15070–15084.

Shi, Zenglin, Ying Sun, & Mengmi Zhang. (2024). Training-free Object Counting with Prompts. DR-NTU (Nanyang Technological University). 322–330. 15 indexed citations

Liu, Xiao, et al.. (2024). Adaptive Visual Scene Understanding: Incremental Scene Graph Generation. 136446–136478.

Gao, Difei, et al.. (2023). Learning to Learn: How to Continuously Teach Humans and Machines. PubMed. 2023. 11674–11685. 3 indexed citations

Zhang, Mengmi, et al.. (2023). Integrating Curricula with Replays: Its Effects on Continual Learning. Proceedings of the AAAI Symposium Series. 1(1). 109–116.

Lei, Stan Weixian, Difei Gao, Jay Zhangjie Wu, et al.. (2023). Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1250–1259. 17 indexed citations

Wu, Jay Zhangjie, et al.. (2023). Label-Efficient Online Continual Object Detection in Streaming Video. DR-NTU (Nanyang Technological University). 19189–19198. 7 indexed citations

Zhang, Mengmi, Marcelo Armendáriz, Will Xiao, et al.. (2022). Look twice: A generalist computational model predicts return fixations across tasks and species. PLoS Computational Biology. 18(11). e1010654–e1010654. 8 indexed citations

Zhang, Mengmi, et al.. (2021). When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2021. 255–264. 5 indexed citations

10.

Zhang, Mengmi, Claire Tseng, & Gabriel Kreiman. (2020). Putting Visual Object Recognition in Context. PubMed. 2020. 12982–12991. 23 indexed citations

11.

Zhang, Mengmi, Tao Wang, Joo‐Hwee Lim, & Jiashi Feng. (2019). Prototype Reminding for Continual Learning.. arXiv (Cornell University). 3 indexed citations

12.

Zhang, Mengmi, et al.. (2019). Lift-the-Flap: Context Reasoning Using Object-Centered Graphs.. arXiv (Cornell University). 2 indexed citations

13.

Zhang, Mengmi, Jiashi Feng, Joo‐Hwee Lim, Qi Zhao, & Gabriel Kreiman. (2018). What am I searching for. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

14.

Zhang, Mengmi, Jiashi Feng, Keng Teck, et al.. (2018). Finding any Waldo with zero-shot invariant and efficient visual search. Nature Communications. 9(1). 3730–3730. 29 indexed citations

15.

Zhang, Mengmi, et al.. (2018). Egocentric Spatial Memory. 436. 137–144. 1 indexed citations

16.

Zhang, Mengmi, Keng Teck, Joo‐Hwee Lim, Qi Zhao, & Jiashi Feng. (2018). Anticipating Where People will Look Using Adversarial Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(8). 1783–1796. 10 indexed citations

17.

Zhang, Mengmi, Keng Teck, Joo‐Hwee Lim, Qi Zhao, & Jiashi Feng. (2017). Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. 3539–3548. 66 indexed citations

18.

Zhang, Mengmi, Keng Teck, Joo‐Hwee Lim, & Qi Zhao. (2017). Foveated neural network: Gaze prediction on egocentric videos. 3720–3724. 2 indexed citations

19.

Zhang, Mengmi. (2015). Accurate Sphere Marker-Based Registration System of 3D Point Cloud Data in Applications of Shipbuilding Blocks. 3(4). 8 indexed citations

20.

Zhang, Mengmi, Feng Lin, & Ben M. Chen. (2014). Vision-based detection and pose estimation for formation of micro aerial vehicles. 39. 1473–1478. 2 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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