Deqing Wang

2.5k citations

84 papers · 1.8k · 1 hit paper · h-index 20

Impact in

Artificial Intelligence top 1%
- Topic Modeling
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Information Systems top 1%
- Recommender Systems and Techniques

Papers in

Artificial Intelligence 60
- Topic Modeling 28
- Text and Document Classification Technologies 22
- Advanced Graph Neural Networks 17
- Advanced Text Analysis Techniques 13
- Sentiment Analysis and Opinion Mining 8
Information Systems 32
- Recommender Systems and Techniques 18
- Web Data Mining and Analysis 9

Co-authors: Fuzhen Zhuang (10 shared papers)Yongchun Zhu (3 shared papers)Hui Zhang (10 shared papers)Fuzhen Zhuang (29 shared papers)Pengpeng Zhao (9 shared papers)Victor S. Sheng (9 shared papers)Yanchi Liu (6 shared papers)Jiajie Xu (2 shared papers)
Journals: IEEE Transactions on Knowledge and Data Engineering (6 papers)Neurocomputing (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Enterprise Information Systems (2 papers)IEEE Transactions on Cybernetics (2 papers)
Partner nations: China United States Australia

In The Last Decade

Deqing Wang

76 papers receiving 1.7k citations

Deqing Wang's Hit Papers

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Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources 2019 · 309 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2019 Proceedings of the AAAI Conference on Artificial Intelligence

Peers

Countries citing papers authored by Deqing Wang

Since Specialization

Citations

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

Fields of papers citing papers by Deqing Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deqing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deqing Wang Line = papers co-authored together Deqing Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources Proceedings of the AAAI Conference on Artificial Intelligence ·Yongchun Zhu, Fuzhen Zhuang, Deqing Wang Hit paper breakdown →	2019	309
2	Feature-level Deeper Self-Attention Network for Sequential Recommendation Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou	2019	231
3	Spatio-temporal deformable 3D ConvNets with attention for action recognition Pattern Recognition ·Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang	2019	112
4	t-Test feature selection approach based on term frequency for text categorization Pattern Recognition Letters ·Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv, Datao Wang	2014	111
5	PromptBERT: Improving BERT Sentence Embeddings with Prompts Ting Chen Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang	2022	98
6	Long- and short-term self-attention network for sequential recommendation Neurocomputing ·Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng	2020	91
7	LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification Proceedings of the AAAI Conference on Artificial Intelligence ·Ting Chen Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang	2021	74
8	Collaborative Self-Attention Network for Session-based Recommendation Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng	2020	70
9	Breeding and trial cultivation of Dongfang No. 3, a hybrid of Laminaria gametophyte clones with a more than intraspecific but less than interspecific relationship Aquaculture ·Xiaojie Li, Jialiang Liu, Yizhou Cong, Shancun Qu, Zhuangzhi Zhang, Hongliang Dai, Shiju Luo, Han Xiaobing, Shao‐shan Carol Huang, Qingyan Wang, Guangjing Liang, Juan Sun, Yu Jin, Deqing Wang, Guanpin Yang	2008	52
10	Inverse-Category-Frequency Based Supervised Term Weighting Schemes for Text Categorization * arXiv (Cornell University) ·Deqing Wang, Hui Zhang	2013	50
11	A neural topic model with word vectors and entity vectors for short texts Information Processing & Management ·Xiaowei Zhao, Deqing Wang, Zhengyang Zhao, Wei Liu, Chenwei Lu, Fuzhen Zhuang	2020	44
12	Contrastive Learning with Bidirectional Transformers for Sequential Recommendation Proceedings of the 31st ACM International Conference on Information & Knowledge Management ·Hanwen Du, Hui Cheng Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao	2022	42
13	Softly Associative Transfer Learning for Cross-Domain Classification IEEE Transactions on Cybernetics ·Deqing Wang, Chenwei Lu, Junjie Wu, (unknown), W. ZHANG, Fuzhen Zhuang, Hui Zhang	2019	31
14	Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification IEEE Transactions on Neural Networks and Learning Systems ·Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang	2020	28
15	Unsupervised feature selection through Gram–Schmidt orthogonalization—A word co-occurrence perspective Neurocomputing ·Deqing Wang, Hui Zhang, Rui Liu, Xianglong Liu, Jing Wang	2015	27
16	Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction IEEE Transactions on Knowledge and Data Engineering ·Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Hua Xiong	2022	25
17	Feature selection based on term frequency and T-test for text categorization Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv	2012	24
18	A survey on causal inference for recommendation The Innovation ·Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang, Zhulin An, Yongjun Xu	2024	23
19	Complementary Aspect-Based Opinion Mining IEEE Transactions on Knowledge and Data Engineering ·Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Ke Xu	2017	21
20	Exploiting Global and Local Hierarchies for Hierarchical Text Classification Ting Chen Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang	2022	20

About Deqing Wang

Deqing Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Statistical and Nonlinear Physics, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Text and Document Classification Technologies (22 papers), Recommender Systems and Techniques (18 papers), Advanced Graph Neural Networks (17 papers), Advanced Text Analysis Techniques (13 papers), Web Data Mining and Analysis (9 papers), Image Retrieval and Classification Techniques (8 papers) and Sentiment Analysis and Opinion Mining (8 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (657 citations), Computer Vision and Pattern Recognition (438 citations), Management Science and Operations Research (124 citations) and General Social Sciences (26 citations). Deqing Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fuzhen Zhuang, Yongchun Zhu, Hui Zhang, Fuzhen Zhuang, Pengpeng Zhao, Victor S. Sheng, Yanchi Liu, Jiajie Xu, Xianglong Liu and Guanfeng Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Enterprise Information Systems and IEEE Transactions on Cybernetics.

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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Deqing Wang's Hit Papers

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All Works

About Deqing Wang

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