Xin Dong

2.4k total citations · 1 hit paper
49 papers, 988 citations indexed

About

Xin Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xin Dong has authored 49 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Xin Dong's work include Advanced Neural Network Applications (16 papers), Topic Modeling (14 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Xin Dong is often cited by papers focused on Advanced Neural Network Applications (16 papers), Topic Modeling (14 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Xin Dong collaborates with scholars based in United States, China and Netherlands. Xin Dong's co-authors include Gerard de Melo, Yu Lei, Fangxi Zhang, Yuxia Sun, Hao Su, Shilin Zhu, Song–Hai Zhang, Ruilong Li, H. T. Kung and Paul L. Rosin and has published in prestigious journals such as Journal of Environmental Management, International Journal of Computer Vision and Proceedings of the VLDB Endowment.

In The Last Decade

Xin Dong

46 papers receiving 962 citations

Hit Papers

A Hybrid Collaborative Filtering Model with Deep Structur... 2017 2026 2020 2023 2017 50 100 150
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. A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems
    2017 184 citations Xin Dong, Yu Lei et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Dong United States 19 583 424 296 71 61 49 988
Xiaoxuan Shen China 12 495 0.8× 247 0.6× 456 1.5× 41 0.6× 69 1.1× 38 915
Hai Liu China 9 372 0.6× 214 0.5× 312 1.1× 35 0.5× 63 1.0× 18 717
Lili Zhao China 13 249 0.4× 283 0.7× 162 0.5× 45 0.6× 48 0.8× 75 684
Yingxue Zhang China 18 761 1.3× 443 1.0× 674 2.3× 37 0.5× 106 1.7× 61 1.4k
Sheng Shen United States 15 701 1.2× 249 0.6× 112 0.4× 89 1.3× 79 1.3× 33 944
Junyang Chen China 16 423 0.7× 290 0.7× 181 0.6× 65 0.9× 90 1.5× 74 900
Xiaorui Liu United States 13 918 1.6× 184 0.4× 216 0.7× 34 0.5× 69 1.1× 30 1.1k
Saad M. Darwish Egypt 16 274 0.5× 302 0.7× 189 0.6× 64 0.9× 132 2.2× 122 879
Li Zhu China 16 416 0.7× 304 0.7× 228 0.8× 64 0.9× 89 1.5× 93 972
Junyu Xuan Australia 17 591 1.0× 217 0.5× 150 0.5× 47 0.7× 93 1.5× 57 945

Countries citing papers authored by Xin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Dong. A scholar is included among the top collaborators of Xin Dong 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 Xin Dong. Xin Dong 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.
Sun, Kai, et al.. (2024). Are Large Language Models a Good Replacement of Taxonomies?. Proceedings of the VLDB Endowment. 17(11). 2919–2932. 4 indexed citations
2.
Deng, Shikuang, et al.. (2024). Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration. International Journal of Computer Vision. 132(9). 3586–3609. 3 indexed citations
3.
Dong, Xin, et al.. (2024). Segment Every Out-of-Distribution Object. 3910–3920. 3 indexed citations
4.
Hu, Binbin, et al.. (2023). REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9900–9908. 7 indexed citations
5.
Dong, Xin, Xiaoying Liu, Jie Cai, et al.. (2022). Dynamic Meta-data Network Sparse PCA for Cancer Subtype Biomarker Screening. Frontiers in Genetics. 13. 869906–869906. 1 indexed citations
6.
Wang, Yiming, et al.. (2022). Evaluation of uncertain signals’ impact on deep reinforcement learning-based real-time control strategy of urban drainage systems. Journal of Environmental Management. 324. 116448–116448. 20 indexed citations
7.
Dong, Xin, et al.. (2022). GDOD. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 386–395. 3 indexed citations
8.
Zhang, Xinyang, et al.. (2021). Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. 3258–3268. 11 indexed citations
9.
Xian, Yikun, Tong Zhao, Jin Li, et al.. (2021). EX3: Explainable Attribute-aware Item-set Recommendations. 484–494. 30 indexed citations
10.
Song, Rui, Tong Li, Xin Dong, & Zhiming Ding. (2020). Identifying Similar Users Based on Metagraph of Check-in Trajectory Data.. Software Engineering and Knowledge Engineering. 525–531. 1 indexed citations
11.
Li, Yuhang, Xin Dong, & Wei Wang. (2020). Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks. International Conference on Learning Representations. 8 indexed citations
12.
Weikum, Gerhard, Xin Dong, Simon Razniewski, & Fabian M. Suchanek. (2020). Machine Knowledge: Creation and Curation of Comprehensive Knowledge\n Bases. arXiv (Cornell University). 44 indexed citations
13.
14.
15.
Dong, Xin, et al.. (2019). Research on Teaching Reform for Logistics Management Major under the Guidance of Intelligent Logistics.
16.
Zhu, Shilin, Xin Dong, & Hao Su. (2019). Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?. 4918–4927. 75 indexed citations
17.
Barbosa, Luciano, Valter Crescenzi, Xin Dong, et al.. (2018). Big Data Integration for Product Specifications.. Iris (Roma Tre University). 41(2). 71–81. 1 indexed citations
18.
Dong, Xin & Gerard de Melo. (2018). Cross-Lingual Propagation for Deep Sentiment Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 28 indexed citations
19.
Dong, Xin, et al.. (2017). A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 184 indexed citations breakdown →
20.
Dong, Xin & M. TAMER ÖZSU. (2012). Proceedings of the on SIGMOD/PODS 2012 PhD Symposium. International Conference on Management of Data. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xiaoxuan Shen Breakdown of academic impact, for papers by Hai Liu Breakdown of academic impact, for papers by Lili Zhao Breakdown of academic impact, for papers by Yingxue Zhang Breakdown of academic impact, for papers by Sheng Shen Breakdown of academic impact, for papers by Junyang Chen Breakdown of academic impact, for papers by Xiaorui Liu Breakdown of academic impact, for papers by Saad M. Darwish Breakdown of academic impact, for papers by Li Zhu Breakdown of academic impact, for papers by Junyu Xuan
Rankless by CCL
2026