Junda Cheng

484 total citations · 1 hit paper
12 papers, 238 citations indexed

About

Junda Cheng is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Junda Cheng has authored 12 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Media Technology. Recurrent topics in Junda Cheng's work include Advanced Vision and Imaging (10 papers), Advanced Image Processing Techniques (5 papers) and Robotics and Sensor-Based Localization (4 papers). Junda Cheng is often cited by papers focused on Advanced Vision and Imaging (10 papers), Advanced Image Processing Techniques (5 papers) and Robotics and Sensor-Based Localization (4 papers). Junda Cheng collaborates with scholars based in China and United States. Junda Cheng's co-authors include Xin Yang, Gangwei Xu, Peng Guo, Yun Wang, Jinhui Tang, Zhaoxing Zhang, Chunyuan Liao, Xiaozhi Chen, Zhipeng Cai and Jinliang Zang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Multimedia.

In The Last Decade

Junda Cheng

12 papers receiving 234 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.

Attention Concatenation Volume for Accurate and Efficient Stereo Matching

2022 148 citations Gangwei Xu, Junda Cheng et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junda Cheng China	7	222	61	49	18	13	12	238
Zhelun Shen China	8	310 1.4×	65 1.1×	76 1.6×	20 1.1×	13 1.0×	16	340
Naiyu Gao China	7	237 1.1×	39 0.6×	17 0.3×	13 0.7×	16 1.2×	8	276
Yiliu Feng China	7	342 1.5×	76 1.2×	105 2.1×	10 0.6×	23 1.8×	12	388
Lang Nie China	9	251 1.1×	74 1.2×	30 0.6×	6 0.3×	10 0.8×	29	285
Tatsunori Taniai Japan	6	236 1.1×	42 0.7×	51 1.0×	5 0.3×	5 0.4×	13	276
Yutao Hu China	8	109 0.5×	18 0.3×	43 0.9×	5 0.3×	9 0.7×	15	173
Xianming Liu China	5	159 0.7×	30 0.5×	61 1.2×	4 0.2×	13 1.0×	15	205
Ziteng Cui China	5	174 0.8×	63 1.0×	37 0.8×	5 0.3×	13 1.0×	9	220
Yueh-Cheng Liu Taiwan	6	151 0.7×	52 0.9×	23 0.5×	5 0.3×	31 2.4×	7	223
Michael S. Brown Singapore	4	395 1.8×	156 2.6×	92 1.9×	6 0.3×	7 0.5×	7	410

Countries citing papers authored by Junda Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Junda Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junda Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Junda Cheng. A scholar is included among the top collaborators of Junda Cheng 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 Junda Cheng. Junda Cheng 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:

12 of 12 papers shown

1.

Cheng, Junda, Gangwei Xu, Zhaoxing Zhang, et al.. (2025). MonSter: Marry Monodepth to Stereo Unleashes Power. 6273–6282. 5 indexed citations

2.

Xu, Gangwei, et al.. (2025). IGEV++: Iterative Multi-Range Geometry Encoding Volumes for Stereo Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 7108–7122. 7 indexed citations

3.

Zhang, Zhaoxing, et al.. (2025). Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry. Proceedings of the AAAI Conference on Artificial Intelligence. 39(10). 10367–10375. 1 indexed citations

4.

Cheng, Junda, et al.. (2024). Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving. 10138–10147. 7 indexed citations

5.

Cai, Zhipeng, et al.. (2024). L-MAGIC: Language Model Assisted Generation of Images with Coherence. 7049–7058. 1 indexed citations

6.

Cheng, Junda, et al.. (2024). MC-Stereo: Multi-Peak Lookup and Cascade Search Range for Stereo Matching. 344–353. 8 indexed citations

7.

Xu, Gangwei, Yun Wang, Junda Cheng, Jinhui Tang, & Xin Yang. (2023). Accurate and Efficient Stereo Matching via Attention Concatenation Volume. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 2461–2474. 35 indexed citations

8.

Cheng, Junda, et al.. (2023). Coatrsnet: Fully Exploiting Convolution and Attention for Stereo Matching by Region Separation. International Journal of Computer Vision. 132(1). 56–73. 10 indexed citations

9.

Cheng, Junda, et al.. (2023). CR-LDSO: Direct Sparse LiDAR-Assisted Visual Odometry With Cloud Reusing. IEEE Transactions on Multimedia. 25. 9397–9409. 7 indexed citations

10.

Xu, Gangwei, Junda Cheng, Peng Guo, & Xin Yang. (2022). Attention Concatenation Volume for Accurate and Efficient Stereo Matching. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12971–12980. 148 indexed citations breakdown →

11.

Cheng, Junda, et al.. (2022). Region Separable Stereo Matching. IEEE Transactions on Multimedia. 25. 4880–4893. 6 indexed citations

12.

Cheng, Junda, et al.. (2020). D²VO: Monocular Deep Direct Visual Odometry. 31. 10158–10165. 3 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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