Pingchuan Ma

1.4k total citations
33 papers, 636 citations indexed

About

Pingchuan Ma is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pingchuan Ma has authored 33 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Signal Processing and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pingchuan Ma's work include Speech and Audio Processing (13 papers), Music and Audio Processing (8 papers) and Speech Recognition and Synthesis (8 papers). Pingchuan Ma is often cited by papers focused on Speech and Audio Processing (13 papers), Music and Audio Processing (8 papers) and Speech Recognition and Synthesis (8 papers). Pingchuan Ma collaborates with scholars based in United Kingdom, United States and China. Pingchuan Ma's co-authors include Stavros Petridis, Maja Pantić, Brais Martínez, Björn W. Schuller, Yunsheng Tian, Dinesh Manocha, Zherong Pan, Bo Ren, Jie Shen and Yujiang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Pingchuan Ma

27 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pingchuan Ma United Kingdom	12	435	268	179	59	42	33	636
Luhong Liang China	13	391 0.9×	213 0.8×	509 2.8×	56 0.9×	22 0.5×	37	876
Zekeriya TÜFEKCİ Türkiye	11	569 1.3×	251 0.9×	248 1.4×	47 0.8×	21 0.5×	34	698
Martin Heckmann Germany	14	328 0.8×	180 0.7×	107 0.6×	46 0.8×	45 1.1×	68	593
Amr El-Desoky Mousa Germany	13	156 0.4×	412 1.5×	125 0.7×	33 0.6×	11 0.3×	25	588
Dorothea Kolossa Germany	16	568 1.3×	314 1.2×	103 0.6×	70 1.2×	136 3.2×	97	769
Yuxin Zhang China	7	138 0.3×	420 1.6×	215 1.2×	37 0.6×	9 0.2×	18	599
Zhongjie Ba China	14	284 0.7×	305 1.1×	280 1.6×	120 2.0×	6 0.1×	64	711
Rongjie Huang China	11	182 0.4×	217 0.8×	123 0.7×	18 0.3×	17 0.4×	40	432
Enrico Grosso Italy	13	164 0.4×	75 0.3×	634 3.5×	67 1.1×	22 0.5×	78	839
Xiaobo Pi United States	6	321 0.7×	165 0.6×	151 0.8×	30 0.5×	16 0.4×	6	472

Countries citing papers authored by Pingchuan Ma

Since Specialization

Citations

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

Fields of papers citing papers by Pingchuan Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingchuan Ma

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

Ma, Pingchuan, et al.. (2025). BOSON ⁻¹ : Understanding and Enabling Physically-Robust Photonic Inverse Design with Adaptive Variation-Aware Subspace Optimization. 1–7.

Shi, Runjie, et al.. (2025). An industrial carbon block instance segmentation algorithm based on improved YOLOv8. Scientific Reports. 15(1). 8147–8147.

Ma, Pingchuan, et al.. (2025). Revival with Voice: Multi-modal Controllable Text-to-Speech Synthesis. 3773–3777.

Zhu, Wenting, Limin Wang, Honglian Li, et al.. (2025). Whole-Genome Identification and Analysis of Carbohydrate Esterase Gene Family in Colletotrichum graminicola. Agriculture. 15(7). 781–781.

Ma, Pingchuan, Yichen Li, You Li, et al.. (2024). Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 283–284. 2 indexed citations

Makatura, Liane, Michael Foshey, Bohan Wang, et al.. (2024). Large Language Models for Design and Manufacturing. 15 indexed citations

Kalgaonkar, Kaustubh, Niko Moritz, Pingchuan Ma, et al.. (2024). The CHiME-8 MMCSG Challenge: Multi-modal conversations in smart glasses. 7–12. 1 indexed citations

Chen, Honglie, Pingchuan Ma, Lu Yin, et al.. (2024). MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization. 2820–2824.

Panagakis, Yannis, et al.. (2023). KAN-AV dataset for audio-visual face and speech analysis in the wild. Image and Vision Computing. 140. 104839–104839. 1 indexed citations

10.

Ma, Pingchuan, et al.. (2023). CC: Causality-Aware Coverage Criterion for Deep Neural Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1788–1800. 8 indexed citations

11.

Wang, Yujiang, et al.. (2023). Self-supervised Video-centralised Transformer for Video Face Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–16. 4 indexed citations

12.

Kotovenko, Dmytro, et al.. (2023). Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. 11070–11081. 4 indexed citations

13.

Ma, Pingchuan, et al.. (2023). Learning Cross-Lingual Visual Speech Representations. 1–5. 5 indexed citations

14.

Ma, Pingchuan, et al.. (2022). Speech-Driven Facial Animations Improve Speech-in-Noise Comprehension of Humans. Frontiers in Neuroscience. 15. 781196–781196. 9 indexed citations

15.

Ma, Pingchuan, Stavros Petridis, & Maja Pantić. (2022). Visual speech recognition for multiple languages in the wild. Nature Machine Intelligence. 4(11). 930–939. 85 indexed citations

16.

Ma, Pingchuan, et al.. (2022). ML4S. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1213–1223. 3 indexed citations

17.

Ma, Pingchuan, Stavros Petridis, & Maja Pantić. (2021). Detecting Adversarial Attacks on Audiovisual Speech Recognition. 6403–6407. 6 indexed citations

18.

Ma, Pingchuan, et al.. (2021). LiRA: Learning Visual Speech Representations from Audio Through Self-Supervision. OPUS (Augsburg University). 3011–3015. 35 indexed citations

19.

Cheng, Shiyang, Pingchuan Ma, Georgios Tzimiropoulos, et al.. (2020). Towards Pose-Invariant Lip-Reading. 4357–4361. 14 indexed citations

20.

Cai, Zhenzhen, et al.. (2019). isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting. 1–8. 11 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.

Explore authors with similar magnitude of impact