Daxiang Dong

1.9k total citations · 2 hit papers
15 papers, 1.0k citations indexed

About

Daxiang Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daxiang Dong has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Daxiang Dong's work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Daxiang Dong is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Daxiang Dong collaborates with scholars based in China, Hong Kong and France. Daxiang Dong's co-authors include Hua Wu, Dianhai Yu, Haifeng Wang, Wei He, Wayne Xin Zhao, Xiangyang Zhou, Ying Chen, Jing Liu, Kai Liu and Li Lü and has published in prestigious journals such as Concurrency and Computation Practice and Experience, North American Chapter of the Association for Computational Linguistics and International Conference on Learning Representations.

In The Last Decade

Daxiang Dong

15 papers receiving 944 citations

Hit Papers

align trajectories

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.

Multi-Task Learning for Multiple Language Translation

2015 316 citations Daxiang Dong, Hua Wu et al. profile →
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

2021 204 citations Yingqi Qu, Jing Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daxiang Dong China	10	906	282	173	47	41	15	1.0k
Congying Xia United States	14	661 0.7×	115 0.4×	230 1.3×	32 0.7×	51 1.2×	26	840
Nikolaos Pappas Switzerland	12	500 0.6×	244 0.9×	129 0.7×	25 0.5×	51 1.2×	32	693
Yue Hu China	16	599 0.7×	285 1.0×	225 1.3×	60 1.3×	25 0.6×	69	811
X. H. Xie China	1	431 0.5×	124 0.4×	330 1.9×	60 1.3×	16 0.4×	2	594
Anton Bakhtin United States	4	1.0k 1.1×	297 1.1×	105 0.6×	21 0.4×	61 1.5×	8	1.1k
John M. Zelle United States	11	528 0.6×	112 0.4×	106 0.6×	33 0.7×	20 0.5×	17	652
Zhiruo Wang United States	6	593 0.7×	182 0.6×	72 0.4×	18 0.4×	19 0.5×	11	670
Lidia S. Chao Macao	16	801 0.9×	247 0.9×	96 0.6×	7 0.1×	40 1.0×	80	919
Yingtong Dou United States	12	418 0.5×	69 0.2×	271 1.6×	84 1.8×	56 1.4×	16	628

Countries citing papers authored by Daxiang Dong

Since Specialization

Citations

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

Fields of papers citing papers by Daxiang Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daxiang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Daxiang Dong. A scholar is included among the top collaborators of Daxiang 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 Daxiang Dong. Daxiang Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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

15 of 15 papers shown

1.

Wang, Yaqing, et al.. (2024). Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. 3233–3244. 4 indexed citations

2.

Liu, Ji, et al.. (2023). FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing. 240–250. 2 indexed citations

3.

Wang, Yaqing, et al.. (2023). ColdNAS: Search to Modulate for User Cold-Start Recommendation. 1021–1031. 8 indexed citations

4.

Liu, Ji, Daxiang Dong, Xi Wang, et al.. (2022). Large‐scale knowledge distillation with elastic heterogeneous computing resources. Concurrency and Computation Practice and Experience. 35(26). 5 indexed citations

5.

Qu, Yingqi, Jing Liu, Kai Liu, et al.. (2021). RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. 5835–5847. 204 indexed citations breakdown →

6.

Liu, Hao, Qian Gao, Li Jiang, et al.. (2021). JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. 3289–3298. 13 indexed citations

7.

Huang, Jin, Zhaochun Ren, Wayne Xin Zhao, et al.. (2019). Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. 573–581. 51 indexed citations

8.

Niu, Guocheng, et al.. (2018). A New Method of Region Embedding for Text Classification. International Conference on Learning Representations. 31 indexed citations

9.

Zhou, Xiangyang, Li Lü, Daxiang Dong, et al.. (2018). Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. 1118–1127. 184 indexed citations

10.

Zhou, Xiangyang, Daxiang Dong, Hua Wu, et al.. (2016). Multi-view Response Selection for Human-Computer Conversation. 372–381. 130 indexed citations

11.

Dong, Daxiang, Hua Wu, Wei He, Dianhai Yu, & Haifeng Wang. (2015). Multi-Task Learning for Multiple Language Translation. 1723–1732. 316 indexed citations breakdown →

12.

Wu, Haiyang, Daxiang Dong, Xiaoguang Hu, et al.. (2014). Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model. 142–146. 7 indexed citations

13.

Yu, Mo, Tiejun Zhao, Daxiang Dong, Hao Tian, & Dianhai Yu. (2013). Compound Embedding Features for Semi-supervised Learning. North American Chapter of the Association for Computational Linguistics. 563–568. 17 indexed citations

14.

Chan, Antoni B. & Daxiang Dong. (2011). Generalized Gaussian process models. 2681–2688. 15 indexed citations

15.

Liang, Bin, et al.. (2009). Malicious Web Pages Detection Based on Abnormal Visibility Recognition. 1–5. 24 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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