Xinjing Cheng

2.4k total citations · 1 hit paper
12 papers, 1.2k citations indexed

About

Xinjing Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xinjing Cheng has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xinjing Cheng's work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xinjing Cheng is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xinjing Cheng collaborates with scholars based in China, Hong Kong and United States. Xinjing Cheng's co-authors include Ruigang Yang, Peng Wang, Qichuan Geng, Dingfu Zhou, Xinyu Huang, Chi Harold Liu, Chenye Guan, Shuang Li, Binhui Xie and Kaixiong Gong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Xinjing Cheng

12 papers receiving 1.1k 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.

The ApolloScape Open Dataset for Autonomous Driving and Its Application

2019 383 citations Xinyu Huang, Peng Wang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Xinjing Cheng

CVPR

AI

AE

MT

Senthil Yogamani France

Heinz Hertlein United Kingdom

Yuenan Hou China

Adam Herout Czechia

Lewei Lu China

Xinyu Huang United States

Adrien Gaidon United States

Jin Fang China

Xingyu Zeng Hong Kong

Senthil Yogamani France

Xinjing Cheng

693 ×0.8

CVPR

183 ×0.7

AI

232 ×0.9

AE

189 ×0.9

AE

85 ×0.5

MT

Citations per year, relative to Xinjing Cheng Xinjing Cheng (= 1×) peers Senthil Yogamani

Countries citing papers authored by Xinjing Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Xinjing Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinjing Cheng

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

All Works

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12 of 12 papers shown

1.

Xie, Binhui, et al.. (2023). VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8605–8613. 8 indexed citations

2.

Xie, Binhui, et al.. (2022). Active Learning for Domain Adaptation: An Energy-Based Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8708–8716. 69 indexed citations

3.

Xie, Binhui, et al.. (2022). Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8058–8068. 54 indexed citations

4.

Long, Xiaoxiao, Xinjing Cheng, Haomin Liu, et al.. (2021). Recent progress in 3D vision. Journal of Image and Graphics. 26(6). 1389–1428. 5 indexed citations

5.

Li, Shuang, et al.. (2021). MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition. 5208–5217. 113 indexed citations

6.

Cheng, Xinjing, Peng Wang, Yanqi Zhou, Chenye Guan, & Ruigang Yang. (2020). Omnidirectional Depth Extension Networks. 589–595. 20 indexed citations

7.

Cheng, Xinjing, Peng Wang, Chenye Guan, & Ruigang Yang. (2020). CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10615–10622. 152 indexed citations

8.

Huang, Xinyu, Peng Wang, Xinjing Cheng, et al.. (2019). The ApolloScape Open Dataset for Autonomous Driving and Its Application. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(10). 2702–2719. 383 indexed citations breakdown →

9.

Cheng, Xinjing, Peng Wang, & Ruigang Yang. (2019). Learning Depth with Convolutional Spatial Propagation Network. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(10). 2361–2379. 214 indexed citations

10.

Fan, Tingxiang, Xinjing Cheng, Jia Pan, et al.. (2019). Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds. IEEE Robotics and Automation Letters. 4(2). 1178–1185. 39 indexed citations

11.

Zhang, Liangjun, et al.. (2019). Compact Reachability Map for Excavator Motion Planning. 2308–2313. 12 indexed citations

12.

Huang, Xinyu, Xinjing Cheng, Qichuan Geng, et al.. (2018). The ApolloScape Dataset for Autonomous Driving. arXiv (Cornell University). 1067–10676. 112 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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