Changjian Wang

1.5k total citations · 2 hit papers
68 papers, 809 citations indexed

About

Changjian Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Changjian Wang has authored 68 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Changjian Wang's work include Topic Modeling (10 papers), Cloud Computing and Resource Management (8 papers) and Natural Language Processing Techniques (6 papers). Changjian Wang is often cited by papers focused on Topic Modeling (10 papers), Cloud Computing and Resource Management (8 papers) and Natural Language Processing Techniques (6 papers). Changjian Wang collaborates with scholars based in China, United States and United Kingdom. Changjian Wang's co-authors include Yuxing Peng, En Zhu, Pei Zhang, Sihang Zhou, Wenxuan Tu, Siwei Wang, Xinwang Liu, Zhen Huang, Zheng Qin and Kai Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and The Plant Journal.

In The Last Decade

Changjian Wang

57 papers receiving 798 citations

Hit Papers

Scalable Multi-view Subsp... 2021 2026 2022 2024 2021 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changjian Wang China 14 264 207 101 65 63 68 809
Dev Kumar Das India 18 521 2.0× 314 1.5× 28 0.3× 71 1.1× 66 1.0× 30 914
Alun Evans Spain 17 138 0.5× 15 0.1× 36 0.4× 26 0.4× 1 0.0× 64 724
Stone United States 13 72 0.3× 99 0.5× 29 0.3× 21 0.3× 2 0.0× 58 791
D. Dumitrescu Romania 13 44 0.2× 260 1.3× 57 0.6× 12 0.2× 3 0.0× 99 732
Randy H. Moss United States 29 505 1.9× 1.6k 7.5× 2.3k 22.5× 14 0.2× 15 0.2× 77 3.0k
Muhammad Almas Anjum Pakistan 20 834 3.2× 564 2.7× 153 1.5× 37 0.6× 8 0.1× 55 1.5k
Ivana Medvedec Mikić Croatia 18 1.3k 5.0× 168 0.8× 18 0.2× 29 0.4× 50 1.9k
Vimal K. Shrivastava India 19 152 0.6× 238 1.1× 123 1.2× 7 0.1× 2 0.0× 41 1.4k
Debdoot Sheet India 16 650 2.5× 329 1.6× 32 0.3× 32 0.5× 2 0.0× 80 1.4k
Yujia Li China 18 442 1.7× 497 2.4× 59 0.6× 5 0.1× 1 0.0× 86 1.8k

Countries citing papers authored by Changjian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changjian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjian Wang

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

All Works

20 of 20 papers shown
1.
Zhu, Boqing, et al.. (2024). Learning incremental audio–visual representation for continual multimodal understanding. Knowledge-Based Systems. 304. 112513–112513. 1 indexed citations
2.
Wang, Changjian, et al.. (2024). SIAT: Document-level Event Extraction via Spatiality-Augmented Interaction Model with Adaptive Thresholding. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(10). 1–21.
3.
Wang, Changjian, Wei Yan, Gang Xie, et al.. (2024). Construction of a Female Sterility Maintaining System Based on a Novel Mutation of the MEL2 Gene. Rice. 17(1). 12–12. 2 indexed citations
4.
Rao, Xinrui, et al.. (2024). Role of exosomes in modulating non-small cell lung cancer radiosensitivity. Frontiers in Pharmacology. 15. 1471476–1471476. 4 indexed citations
6.
Huang, Xiaoyan, Yiqi Li, Zhenyi Chang, et al.. (2024). Regulation by distinct MYB transcription factors defines the roles of OsCYP86A9 in anther development and root suberin deposition. The Plant Journal. 118(6). 1972–1990. 7 indexed citations
7.
Poon, Jessie, et al.. (2024). Mitigation of hydropower—ecosystem conflict in China. 1(1). 60–64. 1 indexed citations
8.
Qin, Zheng, Hao Yu, Changjian Wang, et al.. (2023). GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 9806–9821. 84 indexed citations breakdown →
9.
Zhong, Qihuang, Liang Ding, Xin Niu, et al.. (2023). Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. 8964–8974.
10.
Chen, Yuan, Luhua Zhang, Zhi‐You Hao, et al.. (2023). Establishment and application of multiplex real-time PCR for simultaneous detection of four viruses associated with porcine reproductive failure. Frontiers in Microbiology. 14. 1092273–1092273. 11 indexed citations
11.
Yu, Siyu, Lin Yuan, Kun Zhang, et al.. (2023). Epidemiology and Genetic Characteristics of Porcine Reproductive and Respiratory Syndrome Virus in the Hunan and Hebei Provinces of China. Veterinary Sciences. 10(1). 63–63. 6 indexed citations
12.
Ming, Feng, Kele Xu, Yan Bai, et al.. (2023). Trusted multi-scale classification framework for whole slide image. Biomedical Signal Processing and Control. 89. 105790–105790. 5 indexed citations
13.
Zhu, Boqing, Kele Xu, Changjian Wang, et al.. (2022). Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3787–3794. 13 indexed citations
15.
Zhang, Pei, Siwei Wang, Sihang Zhou, et al.. (2021). Scalable Multi-view Subspace Clustering with Unified Anchors. 3528–3536. 172 indexed citations breakdown →
16.
Pang, Jing, Hua Yang, Feng Xu, et al.. (2021). HT-2 toxin affects cell viability of goat spermatogonial stem cells through AMPK-ULK1 autophagy pathways. Theriogenology. 164. 22–30. 11 indexed citations
17.
Li, Qingguo, Changjian Wang, Yaqi Li, et al.. (2017). Lymph node status as a prognostic factor after palliative resection of primary tumor for patients with metastatic colorectal cancer. Oncotarget. 8(29). 48333–48342. 2 indexed citations
18.
Wang, Changjian, et al.. (2017). Stability Analysis for Stochastic Neutral‐Type Memristive Neural Networks with Time‐Varying Delay and S‐Type Distributed Delays. Mathematical Problems in Engineering. 2017(1). 2 indexed citations
19.
Ouyang, Xue, et al.. (2017). ML-NA: A Machine Learning Based Node Performance Analyzer Utilizing Straggler Statistics. 73–80. 5 indexed citations
20.
Li, Qingguo, et al.. (2010). Prognostic Significance of c-erbB-2 and Vascular Endothelial Growth Factor in Colorectal Liver Metastases. Annals of Surgical Oncology. 17(6). 1555–1563. 18 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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