Jia-Wang Bian

3.5k total citations · 4 hit papers
22 papers, 1.8k citations indexed

About

Jia-Wang Bian is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Cognitive Neuroscience. According to data from OpenAlex, Jia-Wang Bian has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 2 papers in Cognitive Neuroscience. Recurrent topics in Jia-Wang Bian's work include Advanced Vision and Imaging (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Robotics and Sensor-Based Localization (7 papers). Jia-Wang Bian is often cited by papers focused on Advanced Vision and Imaging (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Robotics and Sensor-Based Localization (7 papers). Jia-Wang Bian collaborates with scholars based in China, Australia and Singapore. Jia-Wang Bian's co-authors include Ming‐Ming Cheng, Yun Liu, Le Zhang, Wen-Yan Lin, Sai-Kit Yeung, Xiang Bai, Xiaowei Hu, Jinhui Tang, Yasuyuki Matsushita and Ian Reid and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Jia-Wang Bian

18 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Richer Convolutional Features for Edge Detection

2018 498 citations Yun Liu, Ming‐Ming Cheng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence

2017 399 citations Jia-Wang Bian, Wen-Yan Lin et al. profile →
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection

2021 173 citations Yun Liu, Xinyu Zhang et al. IEEE Transactions on Image Processing profile →
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

2023 106 citations Zirui Wang, Kejie Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jia-Wang Bian China	14	1.5k	608	267	171	104	22	1.8k
Xiaojin Gong China	21	1.3k 0.8×	344 0.6×	203 0.8×	160 0.9×	80 0.8×	72	1.7k
Pablo F. Alcantarilla Spain	17	1.4k 0.9×	856 1.4×	326 1.2×	99 0.6×	40 0.4×	32	1.9k
Takayuki Okatani Japan	20	1.1k 0.7×	250 0.4×	275 1.0×	142 0.8×	82 0.8×	121	1.7k
Hui Zeng China	16	1.6k 1.1×	317 0.5×	556 2.1×	110 0.6×	63 0.6×	44	1.9k
Chunxia Xiao China	27	2.0k 1.3×	300 0.5×	397 1.5×	171 1.0×	51 0.5×	149	2.6k
Xuran Pan China	11	989 0.7×	256 0.4×	313 1.2×	331 1.9×	119 1.1×	16	1.7k
Xinxin Hu China	10	875 0.6×	182 0.3×	161 0.6×	183 1.1×	131 1.3×	23	1.1k
David Eigen United States	6	2.0k 1.3×	343 0.6×	665 2.5×	451 2.6×	86 0.8×	9	2.3k
Jan Hosang Germany	9	2.0k 1.3×	324 0.5×	191 0.7×	562 3.3×	115 1.1×	10	2.4k
Tingfa Xu China	22	1.8k 1.2×	345 0.6×	498 1.9×	294 1.7×	74 0.7×	154	2.4k

Countries citing papers authored by Jia-Wang Bian

Since Specialization

Citations

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

Fields of papers citing papers by Jia-Wang Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia-Wang Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Jia-Wang Bian. A scholar is included among the top collaborators of Jia-Wang Bian 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 Jia-Wang Bian. Jia-Wang Bian 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

Bian, Jia-Wang, et al.. (2025). High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 3530–3543.

Zhang, Le, Qibin Hou, Yun Liu, et al.. (2024). Deep negative correlation classification. Machine Learning. 113(10). 7223–7241.

Chen, Shuai, Yash Bhalgat, Xinghui Li, et al.. (2024). Neural Refinement for Absolute Pose Regression with Feature Synthesis. 20987–20996. 6 indexed citations

Yin, Wei, Jianming Zhang, Oliver Wang, et al.. (2024). Towards Domain-agnostic Depth Completion. 21(4). 652–669.

Bian, Jia-Wang, et al.. (2023). SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 497–508. 41 indexed citations

Wang, Zirui, et al.. (2023). NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior. 4160–4169. 106 indexed citations breakdown →

Li, Kejie, Jia-Wang Bian, Robert O. Castle, Philip H. S. Torr, & Victor Adrian Prisacariu. (2023). MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices. 4892–4901. 5 indexed citations

Liu, Yun, Xinyu Zhang, Jia-Wang Bian, Le Zhang, & Ming‐Ming Cheng. (2021). SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection. IEEE Transactions on Image Processing. 30. 3804–3814. 173 indexed citations breakdown →

Zhang, Xinyu, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, & Mingyu You. (2021). Diverse Knowledge Distillation for End-to-End Person Search. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 3412–3420. 25 indexed citations

10.

Liu, Yun, Ming‐Ming Cheng, Deng-Ping Fan, et al.. (2021). Semantic Edge Detection with Diverse Deep Supervision. International Journal of Computer Vision. 130(1). 179–198. 43 indexed citations

11.

Bian, Jia-Wang, Huangying Zhan, Naiyan Wang, et al.. (2021). Auto-Rectify Network for Unsupervised Indoor Depth Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 9802–9813. 49 indexed citations

12.

Wu, Yu-Huan, Yun Liu, Jun Xu, et al.. (2021). MobileSal: Extremely Efficient RGB-D Salient Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 10261–10269. 123 indexed citations

13.

Bian, Jia-Wang, Huangying Zhan, & Ian Reid. (2021). NVSS: High-quality Novel View Selfie Synthesis. 1085–1094. 2 indexed citations

14.

Zhang, Le, Zenglin Shi, Joey Tianyi Zhou, et al.. (2020). Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(4). 1460–1466. 37 indexed citations

15.

Zhan, Huangying, Chamara Saroj Weerasekera, Jia-Wang Bian, & Ian Reid. (2020). Visual Odometry Revisited: What Should Be Learnt?. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 4203–4210. 118 indexed citations

16.

Bian, Jia-Wang, Yu-Huan Wu, Ji Zhao, et al.. (2019). An Evaluation of Feature Matchers for Fundamental Matrix Estimation.. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 25. 6 indexed citations

17.

Zhang, Le, Zenglin Shi, Ming‐Ming Cheng, et al.. (2019). Nonlinear Regression via Deep Negative Correlation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 982–998. 96 indexed citations

18.

Liu, Yun, Ming‐Ming Cheng, Xiaowei Hu, et al.. (2018). Richer Convolutional Features for Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(8). 1939–1946. 498 indexed citations breakdown →

19.

Liu, Yun, Peng-Tao Jiang, Shijie Li, et al.. (2018). DEL: Deep Embedding Learning for Efficient Image Segmentation. 864–870. 33 indexed citations

20.

Bian, Jia-Wang, et al.. (2017). GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence. 2828–2837. 399 indexed citations breakdown →

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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