Dejing Dou

5.0k total citations · 1 hit paper
91 papers, 2.1k citations indexed

About

Dejing Dou is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Dejing Dou has authored 91 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 22 papers in Molecular Biology and 22 papers in Information Systems. Recurrent topics in Dejing Dou's work include Semantic Web and Ontologies (21 papers), Topic Modeling (20 papers) and Biomedical Text Mining and Ontologies (14 papers). Dejing Dou is often cited by papers focused on Semantic Web and Ontologies (21 papers), Topic Modeling (20 papers) and Biomedical Text Mining and Ontologies (14 papers). Dejing Dou collaborates with scholars based in United States, China and Canada. Dejing Dou's co-authors include Daya C. Wimalasuriya, Daniel Lowd, Javid Ebrahimi, Anyi Rao, NhatHai Phan, Xintao Wu, Haishan Liu, Hao Wang, Wayne Tsang and Changhwan Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

Dejing Dou

89 papers receiving 1.9k citations

Hit Papers

HotFlip: White-Box Adversarial Examples for Text Classifi... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. HotFlip: White-Box Adversarial Examples for Text Classification
    2018 477 citations Javid Ebrahimi, Anyi Rao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dejing Dou United States 21 1.4k 395 320 276 226 91 2.1k
Bo Xu China 26 1.1k 0.7× 345 0.9× 242 0.8× 128 0.5× 203 0.9× 156 2.2k
Siwei Lai China 9 2.3k 1.6× 538 1.4× 254 0.8× 136 0.5× 261 1.2× 10 2.8k
Jingbo Shang United States 19 1.4k 1.0× 322 0.8× 278 0.9× 152 0.6× 209 0.9× 106 2.0k
Gjergji Kasneci Germany 18 1.3k 0.9× 469 1.2× 124 0.4× 214 0.8× 215 1.0× 61 2.0k
Ninghao Liu United States 19 1.4k 1.0× 365 0.9× 103 0.3× 147 0.5× 253 1.1× 71 2.2k
Éric Gaussier France 21 1.3k 0.9× 251 0.6× 199 0.6× 142 0.5× 266 1.2× 70 1.8k
Marko Grobelnik Slovenia 26 1.6k 1.1× 861 2.2× 333 1.0× 142 0.5× 362 1.6× 126 2.4k
Axel-Cyrille Ngonga Ngomo Germany 24 2.0k 1.4× 522 1.3× 389 1.2× 188 0.7× 235 1.0× 167 2.5k
Fabio Ciravegna United Kingdom 21 1.4k 1.0× 813 2.1× 240 0.8× 95 0.3× 201 0.9× 140 2.1k
Estevam Hruschka Brazil 14 2.0k 1.4× 538 1.4× 150 0.5× 90 0.3× 259 1.1× 80 2.4k

Countries citing papers authored by Dejing Dou

Since Specialization
Citations

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

Fields of papers citing papers by Dejing Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejing Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Dejing Dou. A scholar is included among the top collaborators of Dejing Dou 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 Dejing Dou. Dejing Dou 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.
Qian, Rui, et al.. (2025). Reasoning to Attend: Try to Understand How <SEG> Token Works. 24722–24731.
2.
Liu, Hao, et al.. (2024). Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. Neurocomputing. 574. 127219–127219.
3.
Zhou, Jingbo, Xinjiang Lu, Yixiong Xiao, et al.. (2024). SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting over a Large Turbine Array. Scientific Data. 11(1). 649–649. 9 indexed citations
4.
Zhou, Jingbo, et al.. (2023). Structure-aware protein self-supervised learning. Bioinformatics. 39(4). 25 indexed citations
5.
Zhou, Jingbo, Jizhou Huang, Hengshu Zhu, et al.. (2023). A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 736–748. 11 indexed citations
6.
Li, Xuhong, Lei Yu, Jiang Bian, et al.. (2023). Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8041–8049. 1 indexed citations
7.
Wang, Yaqing, Xin Tian, Haoyi Xiong, et al.. (2022). RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. 1078–1084. 2 indexed citations
8.
Zhang, Zijie, Yang Zhou, Xin Zhao, et al.. (2021). Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. Neural Information Processing Systems. 34. 8 indexed citations
9.
Hu, Di, Xuhong Li, Lichao Mou, et al.. (2020). Cross-Task Transfer for Multimodal Aerial Scene Recognition.. arXiv (Cornell University). 2 indexed citations
10.
Ebrahimi, Javid, Anyi Rao, Daniel Lowd, & Dejing Dou. (2018). HotFlip: White-Box Adversarial Examples for Text Classification. 31–36. 477 indexed citations breakdown →
11.
Phan, NhatHai, Xintao Wu, & Dejing Dou. (2017). Preserving differential privacy in convolutional deep belief networks. Machine Learning. 106(9-10). 1681–1704. 55 indexed citations
12.
Huang, Jingshan, Karen Eilbeck, Barry Smith, et al.. (2016). The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology. Journal of Biomedical Semantics. 7(1). 24–24. 7 indexed citations
13.
Huang, Jingshan, Dejing Dou, Barry Smith, et al.. (2016). OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data. Journal of Biomedical Semantics. 7(1). 25–25. 19 indexed citations
14.
Phan, NhatHai, et al.. (2016). Ontology-based deep learning for human behavior prediction with explanations in health social networks. Information Sciences. 384. 298–313. 56 indexed citations
15.
Shen, Yelong, NhatHai Phan, Xiao Xiao, et al.. (2015). Dynamic socialized Gaussian process models for human behavior prediction in a health social network. Knowledge and Information Systems. 49(2). 455–479. 15 indexed citations
16.
Wang, Hao, Tania Tudorache, Dejing Dou, Natalya F. Noy, & Mark A. Musen. (2014). Analysis and Prediction of User Editing Patterns in Ontology Development Projects. PubMed. 4(2). 117–132. 4 indexed citations
17.
18.
Huang, Jingshan, et al.. (2011). OMIT: A Domain-Specific Knowledge Base for MicroRNA Target Prediction. Pharmaceutical Research. 28(12). 3101–3104. 11 indexed citations
19.
Wimalasuriya, Daya C. & Dejing Dou. (2009). Using multiple ontologies in information extraction. 235–244. 18 indexed citations
20.
Joseph, R, Dejing Dou, & Wayne Tsang. (1994). Molecular Cloning of a Novel mRNA (Neuronatin) That Is Highly Expressed in Neonatal Mammalian Brain. Biochemical and Biophysical Research Communications. 201(3). 1227–1234. 82 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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