Peng Qi

4.3k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Peng Qi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Peng Qi has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Peng Qi's work include Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (5 papers). Peng Qi is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (5 papers). Peng Qi collaborates with scholars based in China, United States and Hong Kong. Peng Qi's co-authors include Christopher D. Manning, Yoshua Bengio, William W. Cohen, Saizheng Zhang, Zhilin Yang, Ruslan Salakhutdinov, Juan Cao, Tianyun Yang, Junbo Guo and Jintao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and IEEE Transactions on Medical Imaging.

In The Last Decade

Peng Qi

26 papers receiving 1.2k citations

Hit Papers

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Qu... 2018 2026 2020 2023 2018 200 400 600
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.

  1. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
    2018 732 citations Zhilin Yang, Peng Qi et al. profile →

Peers

Peng Qi
Yeyun Gong China
Steffen Eger Germany
Xingcheng Yao China
Yuanbin Wu China
Yun-Nung Chen Taiwan
Yukun Li China
Mohamed Aly United States
Oscar Täckström United States
Yeyun Gong China
Peng Qi
Citations per year, relative to Peng Qi Peng Qi (= 1×) peers Yeyun Gong

Countries citing papers authored by Peng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Peng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Qi. A scholar is included among the top collaborators of Peng Qi 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 Peng Qi. Peng Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Qi, Peng, Yi Cai, Jiankun Liu, et al.. (2024). Integration of Multi-Source Medical Data for Medical Diagnosis Question Answering. IEEE Transactions on Medical Imaging. 44(3). 1373–1385. 3 indexed citations
3.
Qi, Peng, Zehong Yan, Wynne Hsu, & Mong Li Lee. (2024). Sniffer: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection. 13052–13062. 18 indexed citations
4.
Cao, Juan, et al.. (2023). ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14584–14592. 2 indexed citations
5.
Qi, Peng, et al.. (2021). Answering Open-Domain Questions of Varying Reasoning Steps from Text. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3599–3614. 19 indexed citations
6.
Shang, Chao, Peng Qi, Guangtao Wang, et al.. (2021). Open Temporal Relation Extraction for Question Answering. 2 indexed citations
7.
Huang, Kevin, Peng Qi, Guangtao Wang, Tengyu Ma, & Jing Huang. (2021). Entity and Evidence Guided Document-Level Relation Extraction. 307–315. 18 indexed citations
8.
Qi, Peng, et al.. (2021). Research on the method of dynamic PDC cutters distribution. IOP Conference Series Earth and Environmental Science. 675(1). 12191–12191. 1 indexed citations
9.
Qi, Peng, Changmeng Zheng, Yi Cai, et al.. (2021). An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 15865–15866.
10.
Qi, Peng, Yuhao Zhang, & Christopher D. Manning. (2020). Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. 25–40. 16 indexed citations
11.
Qi, Peng, et al.. (2020). Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text.. arXiv (Cornell University). 6 indexed citations
12.
Qi, Peng, Changmeng Zheng, Yi Cai, et al.. (2020). Unsupervised cross-domain named entity recognition using entity-aware adversarial training. Neural Networks. 138. 68–77. 20 indexed citations
13.
Zheng, Changmeng, Peng Qi, & Xuemiao Xu. (2020). Heterogenous Multi-Source Fusion for Ship Trajectory Complement and Prediction with Sequence Modeling. 15–21. 4 indexed citations
14.
Qi, Peng, et al.. (2019). Answering Complex Open-domain Questions Through Iterative Query Generation. 2590–2602. 53 indexed citations
15.
Yang, Zhilin, Peng Qi, Saizheng Zhang, et al.. (2018). HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. 2369–2380. 732 indexed citations breakdown →
16.
Khandelwal, Urvashi, He He, Peng Qi, & Dan Jurafsky. (2018). Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. 284–294. 149 indexed citations
17.
Li, Fangjie, Weipeng Guan, Yuxiang Wu, et al.. (2018). A three-dimensional indoor positioning technique based on visible light communication using chaotic particle swarm optimization algorithm. Optik. 165. 54–73. 18 indexed citations
18.
Qi, Peng, et al.. (2017). The partial properties of a new pseudo-random sequence. 1. 948–951. 1 indexed citations
19.
Maas, Andrew L., et al.. (2014). Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. arXiv (Cornell University). 11 indexed citations
20.
Xie, Jun, et al.. (2012). Generating of a nonlinear pseudorandom sequence using linear feedback shift register. 1. 432–435. 3 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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