Linqi Zhou

628 total citations · 1 hit paper
8 papers, 316 citations indexed

About

Linqi Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Linqi Zhou has authored 8 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Linqi Zhou's work include Generative Adversarial Networks and Image Synthesis (2 papers), Natural Language Processing Techniques (2 papers) and Speech and dialogue systems (1 paper). Linqi Zhou is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Natural Language Processing Techniques (2 papers) and Speech and dialogue systems (1 paper). Linqi Zhou collaborates with scholars based in United States, China and Singapore. Linqi Zhou's co-authors include Yilun Du, Jiajun Wu, Erik Nijkamp, Bo Pang, Yixian Liu, Kewei Tu, Shafiq Joty, Stefano Ermon, Aaron Lou and Caiming Xiong and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and AIP conference proceedings.

In The Last Decade

Linqi Zhou

5 papers receiving 310 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.

3D Shape Generation and Completion through Point-Voxel Diffusion

2021 246 citations Linqi Zhou, Yilun Du et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linqi Zhou United States	4	164	156	125	65	46	8	316
Zekun Hao United States	4	299 1.8×	294 1.9×	231 1.8×	34 0.5×	74 1.6×	7	456
Dustin Schwenk United States	6	298 1.8×	109 0.7×	99 0.8×	168 2.6×	34 0.7×	7	437
Adrien Poulenard United States	8	191 1.2×	207 1.3×	95 0.8×	20 0.3×	54 1.2×	10	340
Yannick Hold-Geoffroy United States	10	333 2.0×	74 0.5×	191 1.5×	23 0.4×	23 0.5×	31	417
Chinthaka Dinesh Canada	9	118 0.7×	92 0.6×	38 0.3×	50 0.8×	33 0.7×	19	265
Basile Van Hoorick United States	3	218 1.3×	127 0.8×	139 1.1×	14 0.2×	30 0.7×	3	310
Ignas Budvytis United Kingdom	13	382 2.3×	104 0.7×	60 0.5×	45 0.7×	31 0.7×	26	444
Jordi Salvador Spain	9	406 2.5×	115 0.7×	105 0.8×	28 0.4×	36 0.8×	29	516
Zhenpei Yang United States	8	175 1.1×	86 0.6×	65 0.5×	22 0.3×	64 1.4×	12	284
Yipeng Qin United Kingdom	9	145 0.9×	68 0.4×	51 0.4×	54 0.8×	13 0.3×	34	273

Countries citing papers authored by Linqi Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Linqi Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linqi Zhou

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

8 of 8 papers shown

1.

Singh, Anikait, et al.. (2025). Personalized Preference Fine-tuning of Diffusion Models. 8020–8030.

2.

Rafailov, Rafael, Linqi Zhou, Aaron Lou, et al.. (2024). Diffusion Model Alignment Using Direct Preference Optimization. 8228–8238. 19 indexed citations

3.

Zhou, Linqi, Andy Shih, Chenlin Meng, & Stefano Ermon. (2024). DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. 4610–4619. 2 indexed citations

4.

Zhou, Linqi. (2024). Design and Implementation of AlexNet Flower Classification System from the Perspective of Deep Learning. 3(3). 292–299.

5.

Zhou, Linqi, Yilun Du, & Jiajun Wu. (2021). 3D Shape Generation and Completion through Point-Voxel Diffusion. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5806–5815. 246 indexed citations breakdown →

6.

Pang, Bo, et al.. (2020). Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. 3619–3629. 41 indexed citations

7.

Han, Tian, Erik Nijkamp, Linqi Zhou, et al.. (2020). Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. 7975–7984. 8 indexed citations

8.

Zhou, Linqi, et al.. (2018). Research on information security in big data era. AIP conference proceedings. 1967. 20020–20020.

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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