Debin Meng

1.4k total citations · 1 hit paper
9 papers, 914 citations indexed

About

Debin Meng is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Debin Meng has authored 9 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Experimental and Cognitive Psychology and 1 paper in Molecular Biology. Recurrent topics in Debin Meng's work include Emotion and Mood Recognition (4 papers), Face recognition and analysis (3 papers) and Face and Expression Recognition (2 papers). Debin Meng is often cited by papers focused on Emotion and Mood Recognition (4 papers), Face recognition and analysis (3 papers) and Face and Expression Recognition (2 papers). Debin Meng collaborates with scholars based in China, Singapore and Australia. Debin Meng's co-authors include Yu Qiao, Xiaojiang Peng, Jianfei Yang, Kai Wang, Kai Wang, Miquel Lürling, Elisabeth J. Faassen, Kai Wang, Henry Gouk and Timothy M. Hospedales and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Communications and Water Air & Soil Pollution.

In The Last Decade

Debin Meng

8 papers receiving 884 citations

Hit Papers

Region Attention Networks for Pose and Occlusion Robust F... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debin Meng China 7 681 628 126 75 70 9 914
Jiateng Liu China 8 112 0.2× 149 0.2× 34 0.3× 43 0.6× 37 0.5× 19 294
Cliff Lansley United Kingdom 4 351 0.5× 354 0.6× 106 0.8× 95 1.3× 61 0.9× 6 522
Sihaeng Lee South Korea 6 568 0.8× 448 0.7× 56 0.4× 62 0.8× 48 0.7× 8 656
Adrià Recasens United States 8 330 0.5× 192 0.3× 144 1.1× 104 1.4× 69 1.0× 12 528
Huai-Qian Khor Malaysia 6 254 0.4× 282 0.4× 107 0.8× 79 1.1× 53 0.8× 7 401
Zengqun Zhao China 5 372 0.5× 347 0.6× 54 0.4× 49 0.7× 32 0.5× 6 477
Jingwei Yan China 8 331 0.5× 330 0.5× 78 0.6× 35 0.5× 70 1.0× 12 455
Pooya Khorrami United States 5 247 0.4× 390 0.6× 117 0.9× 33 0.4× 71 1.0× 13 502
Jie Cai United States 9 320 0.5× 285 0.5× 50 0.4× 31 0.4× 27 0.4× 12 474
Jihyeon Roh South Korea 4 277 0.4× 257 0.4× 53 0.4× 29 0.4× 26 0.4× 6 347

Countries citing papers authored by Debin Meng

Since Specialization
Citations

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

Fields of papers citing papers by Debin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debin Meng

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

All Works

9 of 9 papers shown
1.
Meng, Debin, Ruyi Shi, Feng Li, et al.. (2024). LncRNA WFDC21P interacts with SEC63 to promote gastric cancer malignant behaviors by regulating calcium homeostasis signaling pathway. Cancer Cell International. 24(1). 111–111. 1 indexed citations
2.
Meng, Debin, et al.. (2024). An ultra-broadband, and low loss 3-dB optical power splitter with curved adiabatic taper. Optics Communications. 569. 130729–130729.
3.
Meng, Debin, et al.. (2021). Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 631–640. 31 indexed citations
4.
Wang, Kai, Xiaojiang Peng, Jianfei Yang, Debin Meng, & Yu Qiao. (2020). Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. IEEE Transactions on Image Processing. 29. 4057–4069. 605 indexed citations breakdown →
5.
Meng, Debin, Xiaojiang Peng, Kai Wang, & Yu Qiao. (2019). Frame Attention Networks for Facial Expression Recognition in Videos. 3866–3870. 117 indexed citations
6.
Meng, Debin, Yuanyuan Zhang, Xiaojiang Peng, et al.. (2019). Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition. arXiv (Cornell University). 562–566. 48 indexed citations
7.
Wang, Kai, Jianfei Yang, Debin Meng, et al.. (2018). Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues. 640–645. 31 indexed citations
8.
Meng, Fansheng, et al.. (2016). Organic Pollutant Types and Concentration Changes of the Water from Songhua River, China, in 1975–2013. Water Air & Soil Pollution. 227(6). 13 indexed citations
9.
Lürling, Miquel, Debin Meng, & Elisabeth J. Faassen. (2014). Effects of Hydrogen Peroxide and Ultrasound on Biomass Reduction and Toxin Release in the Cyanobacterium, Microcystis aeruginosa. Toxins. 6(12). 3260–3280. 68 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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