Ledell Wu

1.8k total citations · 1 hit paper
10 papers, 592 citations indexed

About

Ledell Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ledell Wu has authored 10 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Ledell Wu's work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ledell Wu is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ledell Wu collaborates with scholars based in China, Israel and United Kingdom. Ledell Wu's co-authors include Sebastian Riedel, Luke Zettlemoyer, Fabio Petroni, Martin Josifoski, Binhui Xie, Quan Sun, Yue Cao, Xinggang Wang, Tiejun Huang and Yuxin Fang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Transactions of the Association for Computational Linguistics.

In The Last Decade

Ledell Wu

10 papers receiving 553 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.

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

2023 239 citations Yuxin Fang, Wen Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ledell Wu China	8	406	221	46	42	38	10	592
Sarath Chandar Canada	9	374 0.9×	124 0.6×	30 0.7×	19 0.5×	22 0.6×	26	511
Jie Fu China	12	354 0.9×	113 0.5×	35 0.8×	48 1.1×	15 0.4×	36	527
Xilun Chen United States	13	630 1.6×	209 0.9×	67 1.5×	11 0.3×	40 1.1×	37	716
S. Chitrakala India	10	306 0.8×	162 0.7×	53 1.2×	7 0.2×	31 0.8×	52	497
Manling Li United States	11	327 0.8×	120 0.5×	48 1.0×	56 1.3×	45 1.2×	52	488
Damai Dai China	10	359 0.9×	125 0.6×	67 1.5×	24 0.6×	16 0.4×	18	530
Xuancheng Ren China	15	553 1.4×	282 1.3×	52 1.1×	14 0.3×	29 0.8×	41	739
Zi-Yi Dou United States	12	645 1.6×	397 1.8×	37 0.8×	21 0.5×	9 0.2×	28	829
Junyang Lin China	12	545 1.3×	184 0.8×	174 3.8×	23 0.5×	23 0.6×	30	651

Countries citing papers authored by Ledell Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ledell Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ledell Wu

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

10 of 10 papers shown

1.

Zhou, Yujia, et al.. (2024). ROGER: Ranking-Oriented Generative Retrieval. ACM Transactions on Information Systems. 42(6). 1–25. 4 indexed citations

2.

Liu, Guang, et al.. (2024). AltDiffusion: A Multilingual Text-to-Image Diffusion Model. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6648–6656. 13 indexed citations

3.

Liu, Guang, et al.. (2023). AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities. 8666–8682. 18 indexed citations

4.

Zhou, Yujia, et al.. (2023). DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index. 20(2). 276–288. 8 indexed citations

5.

Zhou, Yujia, et al.. (2023). WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. IEEE Transactions on Knowledge and Data Engineering. 36(9). 4996–5006. 2 indexed citations

6.

Fang, Yuxin, Wen Wang, Binhui Xie, et al.. (2023). EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. 19358–19369. 239 indexed citations breakdown →

7.

Cao, Nicola De, Ledell Wu, Kashyap Popat, et al.. (2022). Multilingual Autoregressive Entity Linking. Transactions of the Association for Computational Linguistics. 10. 274–290. 50 indexed citations

8.

Wu, Ledell, Fabio Petroni, Martin Josifoski, Sebastian Riedel, & Luke Zettlemoyer. (2020). Scalable Zero-shot Entity Linking with Dense Entity Retrieval. 6397–6407. 174 indexed citations

9.

Lerer, Adam, Ledell Wu, Jiajun Shen, et al.. (2019). Pytorch-BigGraph: A Large Scale Graph Embedding System.. arXiv (Cornell University). 1. 120–131. 13 indexed citations

10.

Wu, Ledell, Adam Fisch, Sumit Chopra, et al.. (2018). StarSpace: Embed All The Things!. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 71 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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