Chengjiang Long

3.2k total citations · 1 hit paper
61 papers, 1.9k citations indexed

About

Chengjiang Long is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chengjiang Long has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chengjiang Long's work include Video Surveillance and Tracking Methods (14 papers), Generative Adversarial Networks and Image Synthesis (11 papers) and Human Pose and Action Recognition (11 papers). Chengjiang Long is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Generative Adversarial Networks and Image Synthesis (11 papers) and Human Pose and Action Recognition (11 papers). Chengjiang Long collaborates with scholars based in China, United States and Canada. Chengjiang Long's co-authors include Gang Hua, Chunxia Xiao, Yongwei Nie, Guiqing Li, Sanping Zhou, Liushuai Shi, Zhian Liu, Anthony Hoogs, Qing Zhang and Wenju Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.

In The Last Decade

Chengjiang Long

59 papers receiving 1.9k 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.

A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

2021 207 citations Yongwei Nie, Chengjiang Long et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengjiang Long China	24	1.3k	602	238	201	163	61	1.9k
Hongkai Yu United States	22	1.3k 1.0×	438 0.7×	383 1.6×	249 1.2×	64 0.4×	85	1.9k
Cláudio R. Jung Brazil	23	1.3k 1.0×	431 0.7×	201 0.8×	424 2.1×	51 0.3×	95	1.8k
Shuai Yi China	21	2.4k 1.9×	592 1.0×	241 1.0×	294 1.5×	31 0.2×	47	2.9k
Renjie Liao Canada	20	1.6k 1.3×	461 0.8×	284 1.2×	451 2.2×	19 0.1×	46	2.2k
Kang-Hyun Jo South Korea	26	1.9k 1.5×	363 0.6×	366 1.5×	475 2.4×	62 0.4×	353	2.7k
Zsolt Kira United States	22	1.2k 0.9×	765 1.3×	128 0.5×	54 0.3×	124 0.8×	68	1.9k
Esther Koller-Meier Switzerland	15	2.1k 1.6×	555 0.9×	97 0.4×	198 1.0×	30 0.2×	28	2.4k
Jennifer Dolson United States	8	883 0.7×	181 0.3×	467 2.0×	173 0.9×	51 0.3×	12	1.5k
Richard P. Wildes Canada	24	2.6k 2.0×	501 0.8×	64 0.3×	170 0.8×	40 0.2×	70	3.8k
Longyin Wen China	27	2.4k 1.9×	554 0.9×	190 0.8×	192 1.0×	39 0.2×	49	2.8k

Countries citing papers authored by Chengjiang Long

Since Specialization

Citations

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

Fields of papers citing papers by Chengjiang Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjiang Long

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjiang Long. A scholar is included among the top collaborators of Chengjiang Long 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 Chengjiang Long. Chengjiang Long 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

Nie, Yongwei, et al.. (2024). Single-Image SVBRDF Estimation Using Auxiliary Renderings as Intermediate Targets. IEEE Transactions on Visualization and Computer Graphics. 31(9). 4908–4922. 2 indexed citations

Xu, Wenju, Chengjiang Long, Yongwei Nie, & Guanghui Wang. (2024). Disentangled Representation Learning for Controllable Person Image Generation. IEEE Transactions on Multimedia. 26. 6065–6077. 1 indexed citations

Long, Chengjiang, et al.. (2024). Exploring Matching Rates: From Keypoint Selection to Camera Relocalization. 506–514.

Long, Chengjiang, et al.. (2024). CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8661–8669. 1 indexed citations

Ye, Xianfeng, et al.. (2023). Discriminative Active Learning for Robotic Grasping in Cluttered Scene. IEEE Robotics and Automation Letters. 8(3). 1858–1865. 11 indexed citations

Hu, Kun, et al.. (2023). Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation. 13894–13903. 6 indexed citations

Liu, Yuanyuan, et al.. (2022). Explore Contextual Information for 3D Scene Graph Generation. IEEE Transactions on Visualization and Computer Graphics. 29(12). 5556–5568. 14 indexed citations

Zhang, Ling, Chengjiang Long, Xiaolong Zhang, & Chunxia Xiao. (2022). Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal. ACM Transactions on Multimedia Computing Communications and Applications. 19(3). 1–22. 9 indexed citations

Xu, Wenju, Chengjiang Long, Ruisheng Wang, & Guanghui Wang. (2021). DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6363–6372. 59 indexed citations

10.

Zhang, Jiqing, Chengjiang Long, Yuxin Wang, et al.. (2021). A Two-Stage Attentive Network for Single Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 32(3). 1020–1033. 56 indexed citations

11.

Hu, Tao, Chengjiang Long, & Chunxia Xiao. (2021). A Novel Visual Representation on Text Using Diverse Conditional GAN for Visual Recognition. IEEE Transactions on Image Processing. 30. 3499–3512. 29 indexed citations

12.

Zhang, Ling, Chengjiang Long, Qingan Yan, Xiaolong Zhang, & Chunxia Xiao. (2020). CLA‐GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal. Computer Graphics Forum. 39(7). 483–494. 10 indexed citations

13.

Long, Chengjiang, Arslan Basharat, & Anthony Hoogs. (2019). A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos. arXiv (Cornell University). 1–10. 8 indexed citations

14.

Long, Chengjiang, et al.. (2019). Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata. 1607–1615. 11 indexed citations

15.

Long, Chengjiang & Gang Hua. (2017). Correlational Gaussian Processes for Cross-Domain Visual Recognition. 4932–4940. 19 indexed citations

16.

Long, Chengjiang, Eric Smith, Arslan Basharat, & Anthony Hoogs. (2017). A C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot. 1898–1906. 35 indexed citations

17.

Long, Chengjiang, Gang Hua, & Ashish Kapoor. (2015). A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing. International Journal of Computer Vision. 116(2). 136–160. 37 indexed citations

18.

Zhao, Jianhui, Chengjiang Long, Shuping Xiong, Cheng Liu, & Zhiyong Yuan. (2014). A New K Nearest Neighbours Algorithm Using Cell Grids for 3D Scattered Point Cloud. Elektronika ir Elektrotechnika. 20(1). 8 indexed citations

19.

Long, Chengjiang, Gang Hua, & Ashish Kapoor. (2013). Active Visual Recognition with Expertise Estimation in Crowdsourcing. 3000–3007. 43 indexed citations

20.

Ding, Ye, et al.. (2007). Partial surface reconstruction and applications from point cloud using RBF. Journal of Computer Information Systems. 3(6). 2479.

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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