Deqing Wang

2.3k citations
71 papers · 1.5k · 1 hit paper · h-index 19

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 53
    • Topic Modeling 24
    • Text and Document Classification Technologies 22
    • Advanced Graph Neural Networks 14
    • Advanced Text Analysis Techniques 12
    • Sentiment Analysis and Opinion Mining 8
  • Information Systems 26
    • Recommender Systems and Techniques 14
    • Web Data Mining and Analysis 8
Co-authors
Fuzhen Zhuang (10 shared papers)Yongchun Zhu (2 shared papers)Hui Zhang (9 shared papers)Fuzhen Zhuang (21 shared papers)Pengpeng Zhao (6 shared papers)Victor S. Sheng (6 shared papers)Yanchi Liu (3 shared papers)Xianglong Liu (4 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
ChinaUnited StatesAustralia

In The Last Decade

Deqing Wang

64 papers receiving 1.4k citations

Deqing Wang's Hit Papers

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources 2019 · 278 citations
2780+2+4Years since publication50100150200250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2019 Proceedings of the AAAI Conference on Artificial Intelligence

Peers

Deqing Wang
Comparison fields: 5 of 112
  • Artificial Intelligence 1.0k
  • Information Systems 507
  • Computer Vision and Pattern Recognition 394
  • Management Science and Operations Research 100
  • General Social Sciences 24
Replace Pengfei Liu with:
Pengfei Liu China
Li Dong China
Ning Ding China
Zufan Zhang China
Xiaoming Zhang China
Basabi Chakraborty Japan
Weili Guan China
Stefan Kombrink Czechia
Deqing Wang relative to Pengfei Liu China Pengfei Liu's profile →
Citations per field
00.5×2×3×
Pengfei Liu · 1×
Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 71 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 →		2019278
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
2019177
3
Spatio-temporal deformable 3D ConvNets with attention for action recognition
Pattern Recognition ·Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang
2019112
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
201496
5
PromptBERT: Improving BERT Sentence Embeddings with Prompts
Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang
202282
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
202079
7
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
Proceedings of the AAAI Conference on Artificial Intelligence ·Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang
202159
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
202059
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
200848
10
Inverse-Category-Frequency Based Supervised Term Weighting Schemes for Text Categorization *
arXiv (Cornell University) ·Deqing Wang, Hui Zhang
201341
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
202040
12
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
Proceedings of the 31st ACM International Conference on Information & Knowledge Management ·Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
202233
13
Softly Associative Transfer Learning for Cross-Domain Classification
IEEE Transactions on Cybernetics ·Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang
201929
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
202026
15
Unsupervised feature selection through Gram–Schmidt orthogonalization—A word co-occurrence perspective
Neurocomputing ·Deqing Wang, Hui Zhang, Rui Liu, Xianglong Liu, Jing Wang
201525
16
Feature selection based on term frequency and T-test for text categorization
Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv
201221
17
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 Xiong
202220
18
Complementary Aspect-Based Opinion Mining
IEEE Transactions on Knowledge and Data Engineering ·Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Ke Xu
201718
19
Towards enhancing centroid classifier for text classification—A border-instance approach
Neurocomputing ·Deqing Wang, Junjie Wu, Hui Zhang, Ke Xu, Mengxiang Lin
201218
20
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering
IEEE Transactions on Neural Networks and Learning Systems ·Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing
202114

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 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Text and Document Classification Technologies (22 papers), Recommender Systems and Techniques (14 papers), Advanced Graph Neural Networks (14 papers), Advanced Text Analysis Techniques (12 papers), Sentiment Analysis and Opinion Mining (8 papers), Web Data Mining and Analysis (8 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Information Systems (507 citations), Computer Vision and Pattern Recognition (394 citations), Management Science and Operations Research (100 citations) and General Social Sciences (24 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, Xianglong Liu, Jiajie Xu and Mingyuan Zhang. 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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