Weili Nie

1.6k total citations · 1 hit paper
25 papers, 526 citations indexed

About

Weili Nie is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Weili Nie has authored 25 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in Weili Nie's work include Cooperative Communication and Network Coding (9 papers), Advanced MIMO Systems Optimization (8 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Weili Nie is often cited by papers focused on Cooperative Communication and Network Coding (9 papers), Advanced MIMO Systems Optimization (8 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Weili Nie collaborates with scholars based in United States, China and United Kingdom. Weili Nie's co-authors include Ankit Patel, Fu‐Chun Zheng, Wenyi Zhang, Anima Anandkumar, Nina Narodytska, Zhuoran Qiao, Arash Vahdat, Yi Zhong, Thomas F. Miller and Lan Zhang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and IEEE Transactions on Vehicular Technology.

In The Last Decade

Weili Nie

23 papers receiving 513 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.

State-specific protein–ligand complex structure prediction with a multiscale deep generative model

2024 66 citations Zhuoran Qiao, Weili Nie et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weili Nie United States	13	177	147	143	96	79	25	526
Tom VanCourt United States	11	117 0.7×	109 0.7×	107 0.7×	30 0.3×	92 1.2×	16	405
Yongfeng Gu United States	12	93 0.5×	110 0.7×	112 0.8×	23 0.2×	101 1.3×	30	418
Junya Honda Japan	12	159 0.9×	232 1.6×	227 1.6×	48 0.5×	98 1.2×	48	485
Bharat Sukhwani United States	12	72 0.4×	147 1.0×	238 1.7×	42 0.4×	110 1.4×	20	475
Poonam Jindal India	13	282 1.6×	215 1.5×	146 1.0×	169 1.8×	71 0.9×	62	657
Lingfan Yu China	4	57 0.3×	188 1.3×	62 0.4×	114 1.2×	24 0.3×	6	316
Hasitha Muthumala Waidyasooriya Japan	10	75 0.4×	135 0.9×	86 0.6×	38 0.4×	46 0.6×	42	303
Yunsheng Bai United States	7	40 0.2×	183 1.2×	36 0.3×	130 1.4×	48 0.6×	20	329
Quan Gan China	9	42 0.2×	214 1.5×	40 0.3×	104 1.1×	31 0.4×	25	404
Vipin Sachdeva United States	10	58 0.3×	68 0.5×	146 1.0×	32 0.3×	96 1.2×	26	373

Countries citing papers authored by Weili Nie

Since Specialization

Citations

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

Fields of papers citing papers by Weili Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weili Nie

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

Feng, Weixi, et al.. (2025). BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations. 12989–12998. 2 indexed citations

Liu, Shengchao, Yanjing Li, Anthony Gitter, et al.. (2025). A text-guided protein design framework. Nature Machine Intelligence. 7(4). 580–591. 10 indexed citations

Avrahami, Omri, Rinon Gal, Gal Chechik, et al.. (2024). DiffUHaul: A Training-Free Method for Object Dragging in Images. 1–12. 5 indexed citations

Diefenbacher, Sascha, et al.. (2024). Improving generative model-based unfolding with Schrödinger bridges. Physical review. D. 109(7). 16 indexed citations

Qiao, Zhuoran, Weili Nie, Arash Vahdat, Thomas F. Miller, & Anima Anandkumar. (2024). State-specific protein–ligand complex structure prediction with a multiscale deep generative model. Nature Machine Intelligence. 6(2). 195–208. 66 indexed citations breakdown →

Nie, Weili, et al.. (2024). BlobGEN-3D: Compositional 3D-Consistent Freeview Image Generation with 3D Blobs. 1–11. 2 indexed citations

Yang, Zhuolin, Ping Wei, Zihan Liu, et al.. (2023). Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. 11844–11857. 10 indexed citations

Liu, Shengchao, Weili Nie, Chengpeng Wang, et al.. (2023). Multi-modal molecule structure–text model for text-based retrieval and editing. Nature Machine Intelligence. 5(12). 1447–1457. 70 indexed citations

Cotter, Christopher R., et al.. (2021). Quantification of Myxococcus xanthus Aggregation and Rippling Behaviors: Deep-Learning Transformation of Phase-Contrast into Fluorescence Microscopy Images. Microorganisms. 9(9). 1954–1954.

10.

Nie, Weili, Zhiding Yu, Lei Mao, et al.. (2020). Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. CaltechAUTHORS (California Institute of Technology). 33. 16468–16480.

11.

Nie, Weili, Tero Karras, Animesh Garg, et al.. (2020). Semi-Supervised StyleGAN for Disentanglement Learning. CaltechAUTHORS (California Institute of Technology). 1. 7360–7369. 18 indexed citations

12.

Nie, Weili & Ankit Patel. (2018). Towards a Better Understanding and Regularization of GAN Training Dynamics.. Uncertainty in Artificial Intelligence. 281–291. 1 indexed citations

13.

Nie, Weili & Ankit Patel. (2018). JR-GAN: Jacobian Regularization for Generative Adversarial Networks.. arXiv (Cornell University). 1 indexed citations

14.

Nie, Weili, Nina Narodytska, & Ankit Patel. (2018). RelGAN: Relational Generative Adversarial Networks for Text Generation.. International Conference on Learning Representations. 78 indexed citations

15.

Zhong, Yi, Martin Haenggi, Fu‐Chun Zheng, et al.. (2016). Towards a Tractable Delay Analysis in Large Wireless Networks.. arXiv (Cornell University). 2 indexed citations

16.

Nie, Weili, Fu‐Chun Zheng, Xiaoming Wang, Wenyi Zhang, & Shi Jin. (2016). User-Centric Cross-Tier Base Station Clustering and Cooperation in Heterogeneous Networks: Rate Improvement and Energy Saving. IEEE Journal on Selected Areas in Communications. 34(5). 1192–1206. 49 indexed citations

17.

Zhang, Lan, Gang Feng, Weili Nie, & Shuang Qin. (2015). A Comparison Study of Coupled and Decoupled Uplink-Downlink Access in Heterogeneous Cellular Networks. 2015 IEEE Global Communications Conference (GLOBECOM). 1–7. 15 indexed citations

18.

Nie, Weili, et al.. (2015). HetNets With Random DTX Scheme: Local Delay and Energy Efficiency. IEEE Transactions on Vehicular Technology. 65(8). 6601–6613. 30 indexed citations

19.

Zhang, Lan, Gang Feng, Weili Nie, & Shuang Qin. (2014). A Comparison Study of Coupled and Decoupled Uplink-Downlink Access in Heterogeneous Cellular Networks. 2015 IEEE Global Communications Conference (GLOBECOM). 4. 1–7. 3 indexed citations

20.

Nie, Weili, Xiaoming Wang, Fu‐Chun Zheng, & Wenyi Zhang. (2014). Energy-efficient base station cooperation in downlink heterogeneous cellular networks. 1779–1784. 15 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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