Linlu Qiu

733 total citations · 1 hit paper
9 papers, 402 citations indexed

About

Linlu Qiu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Linlu Qiu has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Surgery. Recurrent topics in Linlu Qiu's work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Video Surveillance and Tracking Methods (2 papers). Linlu Qiu is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Video Surveillance and Tracking Methods (2 papers). Linlu Qiu collaborates with scholars based in United States, Switzerland and Canada. Linlu Qiu's co-authors include Fisher Yu, Haofeng Chen, Trevor Darrell, Jiangmiao Pang, Xia Li, Qi Li, T. Huang, Fei Sha, Peter Shaw and Kristina Toutanova and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Linlu Qiu

7 papers receiving 385 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.

Quasi-Dense Similarity Learning for Multiple Object Tracking

2021 268 citations Jiangmiao Pang, Linlu Qiu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linlu Qiu United States	5	301	118	70	41	29	9	402
Jeany Son South Korea	8	330 1.1×	110 0.9×	56 0.8×	38 0.9×	25 0.9×	15	420
Yubin Wu China	6	260 0.9×	70 0.6×	41 0.6×	53 1.3×	24 0.8×	13	334
Roberto Henschel Germany	8	351 1.2×	81 0.7×	37 0.5×	39 1.0×	12 0.4×	10	389
Liqi Yan China	8	394 1.3×	111 0.9×	62 0.9×	11 0.3×	29 1.0×	18	482
Xiaohuan Lu China	7	262 0.9×	63 0.5×	112 1.6×	39 1.0×	36 1.2×	23	327
Zhou Xue China	9	336 1.1×	81 0.7×	44 0.6×	26 0.6×	32 1.1×	26	425
Horesh Ben Shitrit Switzerland	6	323 1.1×	122 1.0×	35 0.5×	11 0.3×	25 0.9×	7	372
Yuanwei Wu United States	8	241 0.8×	79 0.7×	111 1.6×	11 0.3×	27 0.9×	9	322
Ryuzo Okada Japan	7	337 1.1×	174 1.5×	30 0.4×	66 1.6×	18 0.6×	14	363
Yancheng Bai China	12	467 1.6×	131 1.1×	53 0.8×	17 0.4×	30 1.0×	21	526

Countries citing papers authored by Linlu Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Linlu Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlu Qiu

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

9 of 9 papers shown

1.

Qiu, Linlu, et al.. (2026). Bayesian teaching enables probabilistic reasoning in large language models. Nature Communications. 17(1). 1238–1238. 1 indexed citations

2.

Chuang, Yung-Sung, Linlu Qiu, Cheng-Yu Hsieh, et al.. (2024). Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps. 1419–1436. 3 indexed citations

3.

Wu, Zhaofeng, Linlu Qiu, Ekin Akyürek, et al.. (2024). Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. 1819–1862. 27 indexed citations

4.

Qiu, Linlu, et al.. (2024). Bias Amplification in Language Model Evolution: An Iterated Learning Perspective. 38629–38664.

5.

Huang, T., Jiangmiao Pang, Linlu Qiu, et al.. (2023). QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15380–15393. 63 indexed citations

6.

Qiu, Linlu, Peter Shaw, Panupong Pasupat, et al.. (2022). Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. 9157–9179. 15 indexed citations

7.

Qiu, Linlu, Peter Shaw, Panupong Pasupat, et al.. (2022). Improving Compositional Generalization with Latent Structure and Data Augmentation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4341–4362. 21 indexed citations

8.

Pang, Jiangmiao, Linlu Qiu, Xia Li, et al.. (2021). Quasi-Dense Similarity Learning for Multiple Object Tracking. 164–173. 268 indexed citations breakdown →

9.

Qiu, Linlu, Hexiang Hu, Bowen Zhang, Peter Shaw, & Fei Sha. (2021). Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2180–2188. 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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