Zaiqing Nie

3.5k total citations · 1 hit paper
73 papers, 2.0k citations indexed

About

Zaiqing Nie is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Zaiqing Nie has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 33 papers in Information Systems and 22 papers in Signal Processing. Recurrent topics in Zaiqing Nie's work include Web Data Mining and Analysis (27 papers), Topic Modeling (22 papers) and Data Management and Algorithms (19 papers). Zaiqing Nie is often cited by papers focused on Web Data Mining and Analysis (27 papers), Topic Modeling (22 papers) and Data Management and Algorithms (19 papers). Zaiqing Nie collaborates with scholars based in China, United States and South Korea. Zaiqing Nie's co-authors include Ji-Rong Wen, Wei‐Ying Ma, Jun Zhu, Gang Luo, Xiaojiang Huang, Chin-Yew Lin, Bo Zhang, Xiaojiang Liu, Haibao Yu and Jirui Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Zaiqing Nie

71 papers receiving 1.9k 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.

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

2022 277 citations Haibao Yu, Yizhen Luo et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zaiqing Nie China	22	1.2k	760	416	286	233	73	2.0k
Dingqi Yang China	27	1.3k 1.0×	716 0.9×	352 0.8×	407 1.4×	288 1.2×	68	2.8k
Feiran Huang China	24	1.2k 1.0×	467 0.6×	571 1.4×	340 1.2×	98 0.4×	88	2.0k
Alexander L. Strehl United States	20	1.3k 1.1×	262 0.3×	318 0.8×	179 0.6×	176 0.8×	28	1.8k
T.L. McCluskey United Kingdom	19	1.4k 1.1×	777 1.0×	336 0.8×	361 1.3×	359 1.5×	103	2.2k
Bolong Zheng China	20	591 0.5×	421 0.6×	248 0.6×	340 1.2×	592 2.5×	88	1.5k
Lei Zhao China	21	697 0.6×	418 0.6×	281 0.7×	282 1.0×	252 1.1×	156	1.4k
Weike Pan China	25	1.5k 1.2×	1.7k 2.2×	524 1.3×	300 1.0×	94 0.4×	108	2.5k
Mieczyslaw M. Kokar United States	19	982 0.8×	317 0.4×	219 0.5×	327 1.1×	135 0.6×	109	1.5k
Zhifeng Bao Australia	26	839 0.7×	412 0.5×	336 0.8×	665 2.3×	1.0k 4.3×	153	2.3k

Countries citing papers authored by Zaiqing Nie

Since Specialization

Citations

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

Fields of papers citing papers by Zaiqing Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaiqing Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Zaiqing Nie. A scholar is included among the top collaborators of Zaiqing Nie 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 Zaiqing Nie. Zaiqing Nie 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:

20 of 20 papers shown

1.

Luo, Yizhen, Kai Yang, Kui Huang, et al.. (2024). Toward Unified AI Drug Discovery with Multimodal Knowledge. SHILAP Revista de lepidopterología. 4. 113–113. 8 indexed citations

2.

Luo, Yizhen, et al.. (2024). Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge. 2082–2093. 4 indexed citations

3.

Luo, Yizhen, Jiahuan Zhang, Siqi Fan, et al.. (2024). BioMedGPT: An Open Multimodal Large Language Model for BioMedicine. IEEE Journal of Biomedical and Health Informatics. 30(2). 981–992. 12 indexed citations

4.

Fan, Siqi, Zhenlin Zhang, Haibao Yu, et al.. (2024). RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception. 22347–22357. 16 indexed citations

5.

Fan, Siqi, Haibao Yu, Wenxian Yang, Jirui Yuan, & Zaiqing Nie. (2024). QUEST: Query Stream for Practical Cooperative Perception. 18436–18442. 7 indexed citations

6.

Xu, Jiahui, et al.. (2024). Leveraging Temporal Contexts to Enhance Vehicle-Infrastructure Cooperative Perception. 915–922. 3 indexed citations

7.

Liu, Zelei, Yuanyuan Chen, Han Yu, et al.. (2023). CAreFL: Enhancing smart healthcare with Contribution‐Aware Federated Learning. AI Magazine. 44(1). 4–15. 2 indexed citations

8.

Yu, Haibao, Yizhen Luo, Zebang Yang, et al.. (2022). DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21329–21338. 277 indexed citations breakdown →

9.

Liu, Kang, et al.. (2019). Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. 2431–2441. 14 indexed citations

10.

Luo, Gang, Xiaojiang Huang, Chin-Yew Lin, & Zaiqing Nie. (2015). Joint Entity Recognition and Disambiguation. 879–888. 171 indexed citations

11.

Luo, Gang, Xiaojiang Huang, Chin-Yew Lin, & Zaiqing Nie. (2015). Joint Named Entity Recognition and Disambiguation. Empirical Methods in Natural Language Processing. 879–888. 39 indexed citations

12.

Bader, Sebastian, Anika Schumann, Stephan Sigg, et al.. (2013). Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities. International Joint Conference on Artificial Intelligence. 1 indexed citations

13.

You, Gae-won, Seung-won Hwang, Young-In Song, Long Jiang, & Zaiqing Nie. (2010). Mining Name Translations from Entity Graph Mapping. Empirical Methods in Natural Language Processing. 430–439. 13 indexed citations

14.

Zheng, Jianfeng & Zaiqing Nie. (2009). Notice of Violation of IEEE Publication Principles - Language Models for Web Object Retrieval. 282–287. 1 indexed citations

15.

Zheng, Jianfeng & Zaiqing Nie. (2009). Notice of Violation of IEEE Publication Principles - Architecture and Implementation of Object-Level Vertical Search. 264–268. 2 indexed citations

16.

Zhu, Jun, Zaiqing Nie, Bo Zhang, & Ji-Rong Wen. (2008). Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction. Journal of Machine Learning Research. 9(51). 1583–1614. 16 indexed citations

17.

Nie, Zaiqing, Ji-Rong Wen, & Wei‐Ying Ma. (2007). Object-level vertical search. Conference on Innovative Data Systems Research. 235–246. 70 indexed citations

18.

Nie, Zaiqing, et al.. (2005). Object-level Web Information Retrieval*. Arthroscopy Sports Medicine and Rehabilitation. 4(1). 9–e179. 1 indexed citations

19.

Nie, Zaiqing, et al.. (2002). Mining coverage statistics for websource selection in a mediator. 678–680. 10 indexed citations

20.

Srivastava, Biplav, XuanLong Nguyen, Subbarao Kambhampati, et al.. (2001). AltAlt: Combining Graphplan and Heuristic State Search. AI Magazine. 22(3). 88–90. 4 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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