Di Wang

4.1k citations

158 papers · 2.4k indexed · 2 hit papers · h-index 22

Impact in

Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Privacy-Preserving Technologies in Data
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Computer Networks and Communications top 2%
- IoT and Edge/Fog Computing

Papers in

Artificial Intelligence 105
- Privacy-Preserving Technologies in Data 33
- Topic Modeling 26
- Natural Language Processing Techniques 19
- Cryptography and Data Security 17
- Stochastic Gradient Optimization Techniques 15
- Neural Networks and Applications 13
- Fuzzy Logic and Control Systems 9
Statistics and Probability 21
- Statistical Methods and Inference 9

Co-authors: Mithun Mukherjee Lei Shu Eric Nyberg Chunyan Miao Peixiang Zhong Jinhui Xu Xiao‐Jun Zeng John Keane
Journals: Neurocomputing (5 papers)Theoretical Computer Science (4 papers)IEEE Transactions on Information Theory (4 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Proceedings of the VLDB Endowment (3 papers)
Partner nations: United States China Saudi Arabia

In The Last Decade

Di Wang

144 papers receiving 2.3k citations

Hit Papers

align trajectories log scale

An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas 2021 · 159 citations

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.

2021 Brain
2018 IEEE Communications Surveys & Tutorials

Peers

Countries citing papers authored by Di Wang

Since Specialization

Citations

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

Fields of papers citing papers by Di Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Di 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 Di Wang Line = papers co-authored together Di Wang links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Towards Stable and Explainable Attention Mechanisms IEEE Transactions on Knowledge and Data Engineering ·Lijie Hu, Xinhai Wang, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang	2025	2
2	Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks Proceedings of the AAAI Conference on Artificial Intelligence ·Chenyang Qiu, Guoshun Nan, Tianyu Xiong, Wendi Deng, Di Wang, Zhiyang Teng, Lijuan Sun, Qimei Cui, Xiaofeng Tao	2024	4
3	Private Over-the-Air Federated Learning at Band-Limited Edge IEEE Transactions on Mobile Computing ·Youming Tao, Shuzhen Chen, Congwei Zhang, Di Wang, Dongxiao Yu, Xiuzhen Cheng, Falko Dressler	2024	5
4	Reinforcement Learning Driven Time-Sensitive Moving Target Tracking of Intelligent Agile Satellite IEEE Transactions on Aerospace and Electronic Systems ·Wenlong Lu, Weihua Gao, Bingyan Liu, Wenlong Niu, Di Wang, Yunwei Li, Xiaodong Peng, Zhen Yang	2024	6
5	3A Multi-Classification Division-Aggregation Framework for Fake News Detection IEEE Transactions on Big Data ·Wen Zhang, Haitao Fu, Huan Wang, Zhiguo Gong, Pan Zhou, Di Wang	2024	4
6	BERT and hierarchical cross attention-based question answering over bridge inspection knowledge graph Expert Systems with Applications ·Jianxi Yang, Xiaoxia Yang, Li Ren, Mengting Luo, Shixin Jiang, Yue Zhang, Di Wang	2023	21
7	Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Computers in Biology and Medicine ·Juexiao Zhou, Longxi Zhou, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao	2023	16
8	IM2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation Zhihua Jiang, Guanghui Ye, Dongning Rao, Di Wang, Xin Miao	2022	3
9	Research on the Forecast of the Combined GRU Model Based on the Optimized Bat Algorithm in the Bank Transaction Volume Mobile Information Systems ·Jingfeng Rong, Di Wang, Boya Zhang, Yonggui Wang	2022	1
10	A Cross-Validation Statistical Framework for Asymmetric Data Integration Biometrics ·Lam Tran, Kevin He, Di Wang, Hui Jiang	2022	2
11	Robust high dimensional expectation maximization algorithm via trimmed hard thresholding Machine Learning ·Di Wang, Xiangyu Guo, Shi Li, Jinhui Xu	2020	2
12	Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations DR-NTU (Nanyang Technological University) ·Peixiang Zhong, Di Wang, Chunyan Miao	2019	187
13	Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges IEEE Communications Surveys & Tutorials ·Mithun Mukherjee, Lei Shu, Di Wang Hit paper breakdown →	2018	479
14	Differentially Private Empirical Risk Minimization in Non-interactive Local Model via Polynomial of Inner Product Approximation. arXiv (Cornell University) ·Di Wang, Adam Smith, Jinhui Xu	2018	3
15	CMU OAQA at TREC 2017 LiveQA: A Neural Dual Entailment Approach for Question Paraphrase Identification. Text REtrieval Conference ·Di Wang, Eric Nyberg	2017	7
16	CMU OAQA at TREC 2016 LiveQA: An Attentional Neural Encoder-Decoder Approach for Answer Ranking. Text REtrieval Conference ·Di Wang, Eric Nyberg	2016	4
17	CMU OAQA at TREC 2015 LiveQA: Discovering the Right Answer with Clues Text REtrieval Conference ·Di Wang, Eric Nyberg	2015	6
18	CMU Multiple-choice Question Answering System at NTCIR-11 QA-Lab NTCIR ·Di Wang, Leonid Boytsov, Jun Araki, Alkesh Patel, J. S. Gee, Zhengzhong Liu, Eric Nyberg, Teruko Mitamura	2014	2
19	Overview of the NTCIR-11 QA-Lab Task. NTCIR ·Hideyuki Shibuki, Kotaro Sakamoto, Yoshionobu Kano, Teruko Mitamura, Madoka Ishioroshi, Kelly Y. Itakura, Di Wang, Tatsunori Mori, Noriko Kando	2014	12
20	Necessary and sufficient conditions for the Schur harmonic convexity or concavity of the extended mean values Revista de la Unión Matemática Argentina ·Wei Xia, Yu‐Ming Chu, Di Wang	2011	7

About Di Wang

Di Wang is a scholar working on Artificial Intelligence, Statistics and Probability, Computational Mathematics, Computer Networks and Communications and Computer Science Applications, having authored 158 papers that have together received 2.4k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (33 papers), Topic Modeling (26 papers), Natural Language Processing Techniques (19 papers), Cryptography and Data Security (17 papers), Stochastic Gradient Optimization Techniques (15 papers), Neural Networks and Applications (13 papers), Statistical Methods and Inference (9 papers) and Fuzzy Logic and Control Systems (9 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Networks and Communications (699 citations), Information Systems (473 citations), Computer Vision and Pattern Recognition (284 citations) and Computer Science Applications (75 citations). Di Wang has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Mithun Mukherjee, Lei Shu, Eric Nyberg, Chunyan Miao, Peixiang Zhong, Jinhui Xu, Xiao‐Jun Zeng, John Keane, Ahmad Alrubaie and Elke A. Rundensteiner. Their work appears in journals such as Neurocomputing, Theoretical Computer Science, IEEE Transactions on Information Theory, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

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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