Zibo Meng

2.6k total citations · 1 hit paper
35 papers, 1.1k citations indexed

About

Zibo Meng is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Zibo Meng has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Experimental and Cognitive Psychology and 7 papers in Signal Processing. Recurrent topics in Zibo Meng's work include Emotion and Mood Recognition (12 papers), Face and Expression Recognition (11 papers) and Face recognition and analysis (8 papers). Zibo Meng is often cited by papers focused on Emotion and Mood Recognition (12 papers), Face and Expression Recognition (11 papers) and Face recognition and analysis (8 papers). Zibo Meng collaborates with scholars based in United States, China and Australia. Zibo Meng's co-authors include Yan Tong, Ping Liu, Shizhong Han, Jie Cai, Shizhong Han, James O’Reilly, Ahmed Shehab Khan, Chiu Man Ho, Jie Cai and Zhiyuan Li and has published in prestigious journals such as Nature Communications, Optics Express and IEEE Transactions on Cybernetics.

In The Last Decade

Zibo Meng

31 papers receiving 1.0k citations

Hit Papers

Facial Expression Recognition via a Boosted Deep Belief N... 2014 2026 2018 2022 2014 100 200 300 400
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.

  1. Facial Expression Recognition via a Boosted Deep Belief Network
    2014 473 citations Ping Liu, Shizhong Han et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zibo Meng United States 13 856 697 131 100 90 35 1.1k
Shizhong Han United States 11 583 0.7× 417 0.6× 97 0.7× 69 0.7× 66 0.7× 19 820
S L Happy India 10 559 0.7× 528 0.8× 104 0.8× 76 0.8× 60 0.7× 17 771
Cheng Lu China 14 324 0.4× 359 0.5× 263 2.0× 90 0.9× 203 2.3× 62 764
Dimitrios Kollias United Kingdom 15 447 0.5× 476 0.7× 252 1.9× 110 1.1× 122 1.4× 40 1.0k
Mohan Karnati India 11 324 0.4× 308 0.4× 107 0.8× 125 1.3× 38 0.4× 27 609
Adıń Ramıŕez Rivera Brazil 11 755 0.9× 286 0.4× 125 1.0× 23 0.2× 87 1.0× 30 917
Kishore Konda Germany 6 440 0.5× 342 0.5× 159 1.2× 80 0.8× 90 1.0× 9 685
Çiğdem Eroğlu Erdem Türkiye 17 676 0.8× 295 0.4× 149 1.1× 76 0.8× 323 3.6× 63 1.0k
Zhanpeng Zhang China 10 571 0.7× 220 0.3× 93 0.7× 47 0.5× 128 1.4× 13 667

Countries citing papers authored by Zibo Meng

Since Specialization
Citations

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

Fields of papers citing papers by Zibo Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zibo Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Zibo Meng. A scholar is included among the top collaborators of Zibo 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 Zibo Meng. Zibo Meng 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.
Lu, Haiming, Guangtao Yang, Kun Zhu, et al.. (2025). 27%-efficiency silicon heterojunction cell with 98.6% cell-to-module ratio driving new momentum towards the 29.4% limit. Nature Communications. 16(1). 9421–9421. 1 indexed citations
2.
Yang, Kangning, et al.. (2025). OpenRR-5k: A Large-Scale Benchmark for Reflection Removal in the Wild. 14–19. 2 indexed citations
3.
Chen, Lajiao, Geli Zhang, Hongxing Liu, et al.. (2025). Identification and characterization of long-term meteorological drought events in the Yellow River Basin. Ecological Informatics. 86. 102992–102992. 4 indexed citations
4.
5.
Jiang, Li, et al.. (2024). Joint HDR Denoising and Fusion on Mobile Devices. 247–252. 1 indexed citations
6.
Fu, Lan, Jinlong Li, Qing Guo, et al.. (2024). Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. 8330–8339. 10 indexed citations
7.
8.
Xu, Runsheng, Zhengzhong Tu, Yuanqi Du, et al.. (2023). Pik-Fix: Restoring and Colorizing Old Photos. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1724–1734. 7 indexed citations
9.
Wang, Yulei, Zibo Meng, Kai Li, et al.. (2022). High-repetition-rate, quarter acoustic wave oscillation period pulse compression using transient stimulated Brillouin scattering. Optics Express. 30(19). 33721–33721. 6 indexed citations
10.
Meng, Zibo, et al.. (2022). Improvement of amorphous silicon/crystalline silicon heterojunction solar cells by light-thermal processing. Materials Science in Semiconductor Processing. 154. 107192–107192. 4 indexed citations
11.
Cai, Jie, et al.. (2022). Probabilistic Attribute Tree Structured Convolutional Neural Networks for Facial Expression Recognition in the Wild. IEEE Transactions on Affective Computing. 14(3). 1927–1941. 27 indexed citations
12.
Li, Kai, Yulei Wang, Jianfeng Yue, et al.. (2022). Amplification of high repetition-rate, picosecond laser pulses using a zig-zag slab configuration. Optics & Laser Technology. 157. 108717–108717. 9 indexed citations
13.
Liu, Ping, Yuewei Lin, Zibo Meng, et al.. (2021). Point Adversarial Self-Mining: A Simple Method for Facial Expression Recognition. IEEE Transactions on Cybernetics. 52(12). 12649–12660. 30 indexed citations
14.
Cai, Jie, Zibo Meng, & Chiu Man Ho. (2020). Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction. 1852–1861. 23 indexed citations
15.
Li, Zhiyuan, Shizhong Han, Ahmed Shehab Khan, et al.. (2019). Pooling Map Adaptation in Convolutional Neural Network for Facial Expression Recognition. 1108–1113. 17 indexed citations
16.
Feng, Bing, Yan Zhang, Zibo Meng, et al.. (2018). Bi-stream CNN Down Syndrome screening model based on genotyping array. BMC Medical Genomics. 11(S5). 105–105. 13 indexed citations
17.
Meng, Zibo, Ping Liu, Jie Cai, Shizhong Han, & Yan Tong. (2017). Identity-Aware Convolutional Neural Network for Facial Expression Recognition. 558–565. 229 indexed citations
18.
Han, Shizhong, et al.. (2016). Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition. Neural Information Processing Systems. 29. 109–117. 40 indexed citations
19.
Meng, Zibo, et al.. (2016). Audiovisual Facial Action Unit Recognition using Feature Level Fusion. RePEc: Research Papers in Economics. 7(1). 60–76. 5 indexed citations
20.
Han, Shizhong, Zibo Meng, Ping Liu, & Yan Tong. (2014). Facial grid transformation: A novel face registration approach for improving facial action unit recognition. 41. 1415–1419. 7 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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