Junpeng Lao

2.2k total citations · 1 hit paper
44 papers, 763 citations indexed

About

Junpeng Lao is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junpeng Lao has authored 44 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junpeng Lao's work include Face Recognition and Perception (19 papers), Visual perception and processing mechanisms (9 papers) and Multisensory perception and integration (9 papers). Junpeng Lao is often cited by papers focused on Face Recognition and Perception (19 papers), Visual perception and processing mechanisms (9 papers) and Multisensory perception and integration (9 papers). Junpeng Lao collaborates with scholars based in Switzerland, United Kingdom and United States. Junpeng Lao's co-authors include Roberto Caldara, Sébastien Miellet, Lingnan He, Xinyue Zhou, Christian C. Luhmann, Michael Osthege, Robert Zinkov, Virgile Andreani, Ravin Kumar and Christopher Fonnesbeck and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Junpeng Lao

42 papers receiving 739 citations

Hit Papers

PyMC: a modern, and comprehensive probabilistic programmi... 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junpeng Lao Switzerland 15 305 198 121 71 54 44 763
Katharina A. Schwarz Germany 16 609 2.0× 183 0.9× 235 1.9× 27 0.4× 52 1.0× 44 986
Piers D. L. Howe Australia 20 655 2.1× 90 0.5× 167 1.4× 111 1.6× 42 0.8× 73 1.1k
Kai Hamburger Germany 17 367 1.2× 135 0.7× 129 1.1× 66 0.9× 94 1.7× 52 706
Paul A. Warren United Kingdom 18 774 2.5× 138 0.7× 110 0.9× 176 2.5× 53 1.0× 60 1.1k
Pei Sun China 20 698 2.3× 232 1.2× 162 1.3× 57 0.8× 23 0.4× 67 1.2k
Nicola Anderson Canada 14 569 1.9× 230 1.2× 122 1.0× 264 3.7× 86 1.6× 36 1.0k
Kathryn A. Stofer United States 13 475 1.6× 121 0.6× 176 1.5× 50 0.7× 216 4.0× 65 918
Melissa R. Beck United States 16 570 1.9× 146 0.7× 251 2.1× 117 1.6× 44 0.8× 74 863
Alessandro Soranzo United Kingdom 12 390 1.3× 129 0.7× 163 1.3× 57 0.8× 53 1.0× 44 635
Drew H. Abney United States 15 335 1.1× 181 0.9× 288 2.4× 30 0.4× 251 4.6× 54 840

Countries citing papers authored by Junpeng Lao

Since Specialization
Citations

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

Fields of papers citing papers by Junpeng Lao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junpeng Lao

This figure shows the co-authorship network connecting the top 25 collaborators of Junpeng Lao. A scholar is included among the top collaborators of Junpeng Lao 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 Junpeng Lao. Junpeng Lao 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.
Boucaud, A., et al.. (2025). MADNESS deblender. Maximum A posteriori with Deep NEural networks for Source Separation. Astronomy and Astrophysics.
2.
Lao, Junpeng, et al.. (2024). Recognizing facial expressions of emotion amid noise: A dynamic advantage. Journal of Vision. 24(1). 7–7. 2 indexed citations
3.
Abril, Oriol, Virgile Andreani, Christopher Fonnesbeck, et al.. (2023). PyMC: a modern, and comprehensive probabilistic programming framework in Python. PeerJ Computer Science. 9. e1516–e1516. 244 indexed citations breakdown →
4.
Rodger, Helen, et al.. (2021). The recognition of facial expressions of emotion in deaf and hearing individuals. Heliyon. 7(5). e07018–e07018. 12 indexed citations
5.
Sp̂înu, Nicoleta, M Cronin, Junpeng Lao, et al.. (2021). Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network. Computational Toxicology. 21. 100206–100206. 19 indexed citations
6.
Lao, Junpeng, et al.. (2020). Watchers do not follow the eye movements of Walkers. Vision Research. 176. 130–140. 1 indexed citations
7.
Lao, Junpeng, et al.. (2019). Developing attentional control in naturalistic dynamic road crossing situations. Scientific Reports. 9(1). 4176–4176. 16 indexed citations
8.
Ramon, Meike, et al.. (2019). Neural Representations of Faces Are Tuned to Eye Movements. Journal of Neuroscience. 39(21). 4113–4123. 25 indexed citations
9.
Jones, Benedict C., Amanda Hahn, Claire I. Fisher, et al.. (2018). No compelling evidence that more physically attractive young adult women have higher estradiol or progesterone. Psychoneuroendocrinology. 98. 1–5. 23 indexed citations
10.
Rodger, Helen, Junpeng Lao, & Roberto Caldara. (2018). Quantifying facial expression signal and intensity use during development. Journal of Experimental Child Psychology. 174. 41–59. 17 indexed citations
11.
Albonico, Andrea, et al.. (2018). Mapping self-face recognition strategies in congenital prosopagnosia.. Neuropsychology. 32(2). 123–137. 9 indexed citations
12.
Vizioli, Luca, et al.. (2018). Temporal multivariate pattern analysis (tMVPA): A single trial approach exploring the temporal dynamics of the BOLD signal. Journal of Neuroscience Methods. 308. 74–87. 8 indexed citations
13.
Ramon, Meike, Junpeng Lao, François‐Xavier Borruat, et al.. (2016). Residual perception of biological motion in cortical blindness. Neuropsychologia. 93(Pt A). 301–311. 6 indexed citations
14.
Lao, Junpeng, et al.. (2016). iMap4: An open source toolbox for the statistical fixation mapping of eye movement data with linear mixed modeling. Behavior Research Methods. 49(2). 559–575. 56 indexed citations
15.
Lao, Junpeng, et al.. (2016). Mapping female bodily features of attractiveness. Scientific Reports. 6(1). 18551–18551. 10 indexed citations
16.
Caldara, Roberto, et al.. (2014). The Facespan: isolating the perceptual span for face recognition. Perception. 43. 74–74. 1 indexed citations
17.
Hayward, William G., et al.. (2013). Eye movements for scrambled faces. Journal of Vision. 13(9). 398–398. 2 indexed citations
18.
Vizioli, Luca, Junpeng Lao, Helen Rodger, & Roberto Caldara. (2013). Culture shapes interbrain synchronization during human goal decoding. Journal of Vision. 13(9). 851–851. 2 indexed citations
19.
Romeo, Marco, Luca Vizioli, Myrte B. Breukink, et al.. (2013). A Functional Magnetic Resonance Imaging Paradigm to Identify Distinct Cortical Areas of Facial Function. Plastic & Reconstructive Surgery. 131(4). 527e–533e. 15 indexed citations
20.
Zhou, Xinyue, Lingnan He, Qing Yang, Junpeng Lao, & Roy F. Baumeister. (2011). Control deprivation and styles of thinking.. Journal of Personality and Social Psychology. 102(3). 460–478. 58 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

Rankless by CCL
2026