Qing Da

763 total citations
16 papers, 428 citations indexed

About

Qing Da is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Qing Da has authored 16 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Qing Da's work include Reinforcement Learning in Robotics (6 papers), Data Stream Mining Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Qing Da is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Data Stream Mining Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Qing Da collaborates with scholars based in China, United States and Singapore. Qing Da's co-authors include Anxiang Zeng, Yang Yu, Shiyong Chen, Zhi‐Hua Zhou, Yu Yang, Yinghui Xu, Yujing Hu, Jing-Cheng Shi, Jun Tan and Lijun Zhang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Qing Da

16 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Da China	7	262	213	156	77	57	16	428
Anxiang Zeng China	8	209 0.8×	226 1.1×	124 0.8×	89 1.2×	42 0.7×	22	376
Yu Lei Hong Kong	11	261 1.0×	310 1.5×	86 0.6×	112 1.5×	37 0.6×	15	481
Yousef Kilani Jordan	11	132 0.5×	229 1.1×	35 0.2×	61 0.8×	42 0.7×	26	386
Gabriele Tolomei Italy	13	197 0.8×	248 1.2×	26 0.2×	83 1.1×	38 0.7×	36	461
J. Javier Samper Spain	9	152 0.6×	227 1.1×	38 0.2×	74 1.0×	47 0.8×	40	404
Reza Ravanmehr Iran	10	124 0.5×	212 1.0×	36 0.2×	64 0.8×	43 0.8×	44	384
Tirath Prasad Sahu India	13	307 1.2×	77 0.4×	77 0.5×	66 0.9×	50 0.9×	44	482
Achim Rettinger Germany	14	470 1.8×	173 0.8×	128 0.8×	80 1.0×	14 0.2×	50	645

Countries citing papers authored by Qing Da

Since Specialization

Citations

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

Fields of papers citing papers by Qing Da

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Da

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

All Works

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16 of 16 papers shown

Lin, Qianying, et al.. (2022). Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. 1036–1044. 1 indexed citations

Zhou, Yuhang, et al.. (2022). Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. 618–627. 4 indexed citations

Lin, Qianying, et al.. (2022). Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3312–3321. 6 indexed citations

Hu, Peng, et al.. (2021). A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 11160–11167. 1 indexed citations

Da, Qing, et al.. (2021). AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online. IEEE Transactions on Knowledge and Data Engineering. 1–1. 13 indexed citations

Zeng, Anxiang, et al.. (2020). Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 34(8). 13212–13219. 2 indexed citations

Li, Pengcheng, Runze Li, Qing Da, Anxiang Zeng, & Lijun Zhang. (2020). Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space. 2605–2612. 50 indexed citations

Shi, Jing-Cheng, et al.. (2019). Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4902–4909. 87 indexed citations

Cai, Qingpeng, et al.. (2019). Policy Optimization with Model-Based Explorations. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4675–4682. 4 indexed citations

10.

Yu, Yang, et al.. (2018). Reusable Reinforcement Learning via Shallow Trails. IEEE Transactions on Neural Networks and Learning Systems. 29(6). 2204–2215. 14 indexed citations

11.

Chen, Shiyong, et al.. (2018). Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation. 1187–1196. 88 indexed citations

12.

Hu, Yujing, Qing Da, Anxiang Zeng, Yang Yu, & Yinghui Xu. (2018). Reinforcement Learning to Rank in E-Commerce Search Engine. 368–377. 95 indexed citations

13.

Da, Qing, Yang Yu, & Zhi‐Hua Zhou. (2014). Napping for functional representation of policy. Adaptive Agents and Multi-Agents Systems. 189–196. 2 indexed citations

14.

Da, Qing, Yu Yang, & Zhi‐Hua Zhou. (2014). Learning with Augmented Class by Exploiting Unlabeled Data. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 59 indexed citations

15.

Da, Qing. (2003). Non-parameter Regression Model of Traffic Flow. Application of Statistics and Management. 1 indexed citations

16.

Da, Qing. (2002). Expected utility model based on fuzzy prior probability. 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.

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