Chengcui Zhang

3.8k total citations · 2 hit papers
146 papers, 2.5k citations indexed

About

Chengcui Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chengcui Zhang has authored 146 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 22 papers in Information Systems. Recurrent topics in Chengcui Zhang's work include Advanced Image and Video Retrieval Techniques (50 papers), Image Retrieval and Classification Techniques (40 papers) and Video Analysis and Summarization (35 papers). Chengcui Zhang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (50 papers), Image Retrieval and Classification Techniques (40 papers) and Video Analysis and Summarization (35 papers). Chengcui Zhang collaborates with scholars based in United States, China and Taiwan. Chengcui Zhang's co-authors include Shu‐Ching Chen, Keqi Zhang, Jianhua Yan, Dean Whitman, Mei‐Ling Shyu, Wei-Bang Chen, Min Chen, Zhan Bu, Baocheng Geng and Srinivas Peeta and has published in prestigious journals such as PLoS ONE, Radiology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Chengcui Zhang

136 papers receiving 2.3k 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 progressive morphological filter for removing nonground measurements from airborne LIDAR data

2003 775 citations Shu‐Ching Chen, Chengcui Zhang et al. profile →
Deep Multimodal Data Fusion

2024 103 citations Chengcui Zhang, Baocheng Geng et al. ACM Computing Surveys profile →

Peers

Chengcui Zhang

CVPR

EE

AI

GEOLO

ECOLO

Borut Žalik Slovenia

Yue Wu China

Monika Sester Germany

Sameer Agarwal United States

Zhong Xie China

Ricardo da Silva Torres Brazil

Naonori Ueda Japan

Jukka Heikkonen Finland

Muhammad Shahzad Pakistan

Hui Yuan China

Borut Žalik Slovenia

Chengcui Zhang

540 ×0.6

CVPR

941 ×1.2

EE

611 ×1.2

AI

470 ×1.0

GEOLO

266 ×0.7

ECOLO

Citations per year, relative to Chengcui Zhang Chengcui Zhang (= 1×) peers Borut Žalik

Countries citing papers authored by Chengcui Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Chengcui Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengcui Zhang

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

1.

Zhang, Chengcui, et al.. (2025). From Pixels to Motion: A Systematic Analysis of Translation-Based Video Synthesis Techniques. Information. 16(11). 990–990.

2.

Zhang, Chengcui, et al.. (2024). Deep Multimodal Data Fusion. ACM Computing Surveys. 56(9). 1–36. 103 indexed citations breakdown →

3.

Chen, Jiawen, et al.. (2024). CheckGuard: Advancing Stolen Check Detection with a Cross-Modal Image-Text Benchmark Dataset. 5425–5429.

4.

Yan, Da, et al.. (2023). Accelerating k-Core Decomposition by a GPU. 1818–1831. 9 indexed citations

5.

Nakhmani, Arie, et al.. (2023). Radiomics for Improved Detection of Chronic Obstructive Pulmonary Disease in Low-Dose and Standard-Dose Chest CT Scans. Radiology. 307(5). e222998–e222998. 27 indexed citations

6.

Zhang, Chengcui, et al.. (2020). Building Damage Evaluation from Satellite Imagery using Deep Learning. 82–89. 18 indexed citations

7.

Bodduluri, Sandeep, Arie Nakhmani, Joseph M. Reinhardt, et al.. (2020). Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease. JCI Insight. 5(13). 29 indexed citations

8.

Bu, Zhan, Hui‐Jia Li, Chengcui Zhang, et al.. (2019). Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics. IEEE Transactions on Knowledge and Data Engineering. 32(7). 1348–1361. 132 indexed citations

9.

Bu, Zhan, et al.. (2019). A Stock Index Prediction Framework: Integrating Technical and Topological Mesoscale Indicators. 4. 23–30. 3 indexed citations

10.

Affuso, Olivia, Chengcui Zhang, Song Gao, et al.. (2018). A method for measuring human body composition using digital images. PLoS ONE. 13(11). e0206430–e0206430. 17 indexed citations

11.

Yan, Da, Yuzhen Huang, Miao Liu, et al.. (2017). GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit. IEEE Transactions on Parallel and Distributed Systems. 29(1). 99–114. 26 indexed citations

12.

Shirmohammadi, Shervin & Chengcui Zhang. (2017). The Latest Multimedia Research from ISM 2016. IEEE Multimedia. 24(2). 18–19.

13.

Bu, Zhan, Zhengyou Xia, Jiandong Wang, & Chengcui Zhang. (2013). A last updating evolution model for online social networks. Physica A Statistical Mechanics and its Applications. 392(9). 2240–2247. 10 indexed citations

14.

Zhang, Chengcui, et al.. (2009). A Multimodal Data Mining Framework for Revealing Common Sources of Spam Images. Journal of Multimedia. 4(5). 17 indexed citations

15.

Zhang, Chengcui, Xin Chen, & Wei-Bang Chen. (2007). An Online Multiple Instance Learning System for Semantic Image Retrieval. 83–84. 2 indexed citations

16.

Zhang, Chengcui, Xin Chen, & Wei-Bang Chen. (2007). An Online Multiple Instance Learning System for Semantic Image Retrieval. 1 indexed citations

17.

Chen, Shu‐Ching, et al.. (2004). Damage pattern mining in hurricane image databases. 11. 227–234. 5 indexed citations

18.

Chen, Shu‐Ching, Mei‐Ling Shyu, Chengcui Zhang, Lin Luo, & Min Chen. (2003). DETECTION OF SOCCER GOAL SHOTS USING JOINT MULTIMEDIA FEATURES AND CLASSIFICATION RULES. Experimental Brain Research. 116(1). 3–9. 33 indexed citations

19.

Huang, Xin, Shu‐Ching Chen, Mei‐Ling Shyu, & Chengcui Zhang. (2002). User concept pattern discovery using relevance feedback and multiple instance learning for content-based image retrieval. 100–108. 29 indexed citations

20.

Chen, Shu‐Ching, et al.. (2001). Multimedia data mining for traffic video sequences. 78–86. 25 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.

Explore authors with similar magnitude of impact