Chengwei Yao

749 total citations
19 papers, 428 citations indexed

About

Chengwei Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chengwei Yao has authored 19 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Chengwei Yao's work include Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Complex Network Analysis Techniques (4 papers). Chengwei Yao is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Complex Network Analysis Techniques (4 papers). Chengwei Yao collaborates with scholars based in China, Canada and United States. Chengwei Yao's co-authors include Jiajun Bu, Deng Cai, Wenqing Chu, Hongyang Xue, Zhao Li, Gencai Chen, Can Wang, Zhi Yu, Martin Ester and Zhen Zhang and has published in prestigious journals such as Atmospheric Environment, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Chengwei Yao

19 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengwei Yao China	12	311	153	95	61	35	19	428
Kusum Kumari Bharti India	9	351 1.1×	84 0.5×	98 1.0×	44 0.7×	17 0.5×	22	469
Sraban Kumar Mohanty India	14	290 0.9×	138 0.9×	82 0.9×	26 0.4×	62 1.8×	33	442
Longfei Li China	9	323 1.0×	70 0.5×	99 1.0×	73 1.2×	38 1.1×	28	432
Amit Agarwal India	9	257 0.8×	96 0.6×	50 0.5×	40 0.7×	33 0.9×	14	410
Jungang Xu China	9	210 0.7×	88 0.6×	125 1.3×	88 1.4×	11 0.3×	50	397
Martin Mladenov Germany	11	158 0.5×	95 0.6×	42 0.4×	43 0.7×	13 0.4×	32	332
Meiyu Liang China	11	215 0.7×	198 1.3×	58 0.6×	14 0.2×	32 0.9×	63	384

Countries citing papers authored by Chengwei Yao

Since Specialization

Citations

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

Fields of papers citing papers by Chengwei Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwei Yao

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

All Works

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19 of 19 papers shown

Bu, Jiajun, et al.. (2022). Cross-modal image retrieval with deep mutual information maximization. Neurocomputing. 496. 166–177. 15 indexed citations

Zhang, Zhen, Jiajun Bu, Zhao Li, et al.. (2021). TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. Neural Networks. 140. 13–26. 5 indexed citations

Zhang, Zhen, Jiajun Bu, Martin Ester, et al.. (2021). Hierarchical Multi-View Graph Pooling with Structure Learning. IEEE Transactions on Knowledge and Data Engineering. 1–1. 53 indexed citations

Zhang, Zhen, Jiajun Bu, Martin Ester, et al.. (2021). H2MN. 2274–2284. 21 indexed citations

Li, Zhao, et al.. (2020). Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications. 1677–1688. 68 indexed citations

Ma, Ning, Jiajun Bu, Zhen Zhang, et al.. (2020). Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. 1055–1064. 26 indexed citations

Ma, Ning, et al.. (2020). Few-Shot Graph Classification with Model Agnostic Meta-Learning.. 3 indexed citations

Zhang, Zhen, Jiajun Bu, Martin Ester, et al.. (2020). Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. 3049–3055. 21 indexed citations

Shen, Xin, Martin Ester, Jiajun Bu, et al.. (2019). Multi-task based Sales Predictions for Online Promotions. 2823–2831. 12 indexed citations

10.

Chu, Wenqing, Hongyang Xue, Zhou Zhao, Deng Cai, & Chengwei Yao. (2018). The forgettable-watcher model for video question answering. Neurocomputing. 314. 386–393. 5 indexed citations

11.

Zhang, Chi, et al.. (2018). Question retrieval for community-based question answering via heterogeneous social influential network. Neurocomputing. 285. 117–124. 27 indexed citations

12.

Chu, Wenqing, Hongyang Xue, Chengwei Yao, & Deng Cai. (2018). Sparse Coding Guided Spatiotemporal Feature Learning for Abnormal Event Detection in Large Videos. IEEE Transactions on Multimedia. 21(1). 246–255. 95 indexed citations

13.

Yao, Chengwei, Deng Cai, Jiajun Bu, & Gencai Chen. (2017). Pre-training the deep generative models with adaptive hyperparameter optimization. Neurocomputing. 247. 144–155. 35 indexed citations

14.

Yao, Chengwei & Gencai Chen. (2016). Hyperparameters Adaptation for Restricted Boltzmann Machines Based on Free Energy. 243–248. 2 indexed citations

15.

Yao, Chengwei, et al.. (2015). Automatic Document Summarization via Deep Neural Networks. 291–296. 10 indexed citations

16.

Yao, Chengwei, Jiajun Bu, Chenxia Wu, & Gencai Chen. (2012). Semi-supervised spectral hashing for fast similarity search. Neurocomputing. 101. 52–58. 12 indexed citations

17.

Shen, Jianfeng, Bin Ju, Tao Jiang, et al.. (2011). Column subset selection for active learning in image classification. Neurocomputing. 74(18). 3785–3792. 5 indexed citations

18.

Yao, Chengwei & Gencai Chen. (2002). A emotion development agent model based on OCC model and operant conditioning. 3. 246–250. 2 indexed citations

19.

Yao, Chengwei, S. Pal Arya, Jeanine M. Davis, & C. E. Main. (1997). A numerical model of the transport and diffusion of Peronospora tabacina spores in the evolving atmospheric boundary layer. Atmospheric Environment. 31(11). 1709–1714. 11 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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