Junle Wang

1.5k total citations
44 papers, 903 citations indexed

About

Junle Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Junle Wang has authored 44 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Junle Wang's work include Visual Attention and Saliency Detection (13 papers), Image and Video Quality Assessment (12 papers) and Visual perception and processing mechanisms (6 papers). Junle Wang is often cited by papers focused on Visual Attention and Saliency Detection (13 papers), Image and Video Quality Assessment (12 papers) and Visual perception and processing mechanisms (6 papers). Junle Wang collaborates with scholars based in China, France and United Kingdom. Junle Wang's co-authors include Patrick Le Callet, Jie Liu, Weisi Lin, Yuming Fang, Manish Narwaria, Xingzhu Liu, Ning Zhang, Wei Gao, Patrick Le Callet and Suiyi Ling and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Hydrogen Energy and Energy.

In The Last Decade

Junle Wang

41 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junle Wang China	16	557	150	137	129	109	44	903
Sanghyun Seo South Korea	16	408 0.7×	71 0.5×	12 0.1×	38 0.3×	43 0.4×	90	991
Weizhong Zhang China	14	229 0.4×	15 0.1×	3 0.0×	31 0.2×	49 0.4×	71	570
Fang‐Lue Zhang China	17	887 1.6×	76 0.5×		83 0.6×	123 1.1×	74	1.1k
Xuesong Zhang China	17	101 0.2×	52 0.3×	7 0.1×	42 0.3×	22 0.2×	85	1.2k
Jinlong Lin China	14	134 0.2×	41 0.3×	5 0.0×	31 0.2×	24 0.2×	42	557
Xin Fan China	16	937 1.7×	26 0.2×	1 0.0×	99 0.8×	124 1.1×	55	1.2k
Sungkil Lee South Korea	17	613 1.1×	101 0.7×		240 1.9×	85 0.8×	49	922
Tiantian Wang China	13	936 1.7×	285 1.9×		116 0.9×	16 0.1×	40	1.2k
Xiongwei Zhang China	17	241 0.4×	71 0.5×		24 0.2×	284 2.6×	175	1.1k
Xiaohua Zhang China	12	940 1.7×	102 0.7×		244 1.9×	93 0.9×	36	1.2k

Countries citing papers authored by Junle Wang

Since Specialization

Citations

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

Fields of papers citing papers by Junle Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junle Wang

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

All Works

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20 of 20 papers shown

Li, Hongrong, et al.. (2025). Understanding AM polymerization reactions for toughness improvement of cement-based materials from the perspective of ionic environments. Journal of environmental chemical engineering. 13(6). 120320–120320.

Zhou, Hang, et al.. (2024). Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6684–6692. 6 indexed citations

Zhou, Hang, et al.. (2024). Attacking Transformers with Feature Diversity Adversarial Perturbation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1788–1796.

Wang, Junle, et al.. (2023). Hydraulic Systems Fault Diagnosis Based on Random Forests Recursive Feature Elimination and XGBoost. Journal of Physics Conference Series. 2569(1). 12056–12056. 3 indexed citations

Zhao, Nanxuan, et al.. (2023). Reference‐based Screentone Transfer via Pattern Correspondence and Regularization. Computer Graphics Forum. 42(6). 1 indexed citations

Wang, Junle, et al.. (2023). Optimum Arrangement of TADAS Dampers for Seismic Drift Control of Buildings Using Accelerated Iterative Methods. Buildings. 13(11). 2720–2720. 2 indexed citations

Qiu, Lingteng, et al.. (2023). REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos. 4637–4646. 13 indexed citations

Yang, Jie, Chaoqun Wang, Zhen Li, Junle Wang, & Ruimao Zhang. (2023). Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains. 19424–19433. 8 indexed citations

Wang, Junle, et al.. (2022). Online Transfer Learning-based Method for Predicting Remaining Useful Life of Aero-engines. 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP). 865–870. 4 indexed citations

10.

Ling, Suiyi, et al.. (2022). Considering User Agreement in Learning to Predict the Aesthetic Quality. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1790–1794. 2 indexed citations

11.

Zhang, Qingzhen, Qingzhen Zhang, Junle Wang, et al.. (2021). A Method for Aero-Engine Gas Path Anomaly Detection Based on Markov Transition Field and Multi-LSTM. Aerospace. 8(12). 374–374. 12 indexed citations

12.

Gao, Wei, et al.. (2021). No-Reference Deep Quality Assessment of Compressed Light Field Images. 1–6. 12 indexed citations

13.

Yuan, Hang, Wei Gao, & Junle Wang. (2021). Dynamic Computational Resource Allocation for Fast Inter Frame Coding in Video Conferencing Applications. 1–6. 5 indexed citations

14.

Li, Jing, Suiyi Ling, Junle Wang, & Patrick Le Callet. (2020). A Probabilistic Graphical Model for Analyzing the Subjective Visual Quality Assessment Data from Crowdsourcing. HAL (Le Centre pour la Communication Scientifique Directe). 3339–3347. 15 indexed citations

15.

Xu, Jiayu, Shifeng Chen, Like Zhang, & Junle Wang. (2020). Lineup Mining and Balance Analysis of Auto Battler. 2300–2307. 1 indexed citations

16.

Engelke, Ulrich, et al.. (2014). Perceptual Relevance Based Image Retargeting. IEEE Signal Processing Letters. 22(6). 705–708. 5 indexed citations

17.

Wang, Junle, et al.. (2013). Computational Model of Stereoscopic 3D Visual Saliency. IEEE Transactions on Image Processing. 22(6). 2151–2165. 96 indexed citations

18.

Engelke, Ulrich, Hantao Liu, Junle Wang, et al.. (2012). Comparative Study of Fixation Density Maps. IEEE Transactions on Image Processing. 22(3). 1121–1133. 29 indexed citations

19.

Wang, Junle, et al.. (2012). Study of depth bias of observers in free viewing of still stereoscopic synthetic stimuli. Journal of Eye Movement Research. 5(5). 30 indexed citations

20.

Wang, Junle, Damon M. Chandler, & Patrick Le Callet. (2010). Quantifying the relationship between visual salience and visual importance. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7527. 75270K–75270K. 26 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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