Peng Qi

1.3k total citations · 1 hit paper
33 papers, 692 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 33 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Peng Qi's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Adaptive optics and wavefront sensing (3 papers). Peng Qi is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Adaptive optics and wavefront sensing (3 papers). Peng Qi collaborates with scholars based in China, United States and Australia. Peng Qi's co-authors include Christopher D. Manning, Timothy Dozat, Bowen Zhou, Yuhao Zhang, Bo Li, Shuai Di, Bo Liu, Jinfeng Yi, Jingen Liu and Curtis P. Langlotz and has published in prestigious journals such as Materials Science and Engineering A, ACM Computing Surveys and Neural Computation.

In The Last Decade

Peng Qi

26 papers receiving 639 citations

Hit Papers

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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.

Trustworthy AI: From Principles to Practices

2022 243 citations Peng Qi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng Qi China	9	486	89	63	56	51	33	692
Emily Reif United States	10	456 0.9×	110 1.2×	72 1.1×	36 0.6×	91 1.8×	17	802
Ruixiang Tang United States	10	318 0.7×	81 0.9×	26 0.4×	27 0.5×	56 1.1×	28	535
Daniel Smilkov North Macedonia	6	253 0.5×	145 1.6×	52 0.8×	13 0.2×	69 1.4×	10	533
Joichi Ito United States	6	339 0.7×	56 0.6×	52 0.8×	54 1.0×	154 3.0×	33	652
Yuheng Li Australia	9	238 0.5×	117 1.3×	44 0.7×	32 0.6×	116 2.3×	29	587
James Wexler United States	7	409 0.8×	211 2.4×	87 1.4×	8 0.1×	54 1.1×	13	641
Yichao Zhou China	13	310 0.6×	117 1.3×	19 0.3×	32 0.6×	13 0.3×	29	571
Eric Wallace United States	12	857 1.8×	287 3.2×	36 0.6×	22 0.4×	21 0.4×	20	1.1k
Ivano Lauriola Italy	6	266 0.5×	80 0.9×	9 0.1×	31 0.6×	18 0.4×	17	500

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Qi, Peng, et al.. (2025). CKE-Former: A clinical knowledge-enhanced transformer for disease classification in telemedicine. Knowledge-Based Systems. 316. 113259–113259. 1 indexed citations

2.

Huang, Limin, et al.. (2025). Sulfur vacancy modified Bi2S3/chitosan/hydroxypropyl cellulose for iodine capture in complex environments: Efficient, stable and environmentally friendly. Separation and Purification Technology. 364. 132422–132422. 1 indexed citations

3.

Wen, Shengping, Jingrui Ma, Siqi Huo, et al.. (2025). Synergistic inhibition of phase transition and precipitates coarsening for high-temperature strength and stability of Al-Cu-(Zr) alloys via Sn and Mn microalloying. Materials Science and Engineering A. 950. 149501–149501.

4.

Xu, Yumo, Peng Qi, Kunlun Liu, et al.. (2025). CiteEval: Principle-Driven Citation Evaluation for Source Attribution. 32759–32778.

5.

Hu, Yonghui, et al.. (2024). Task offloading and resource allocation in NOMA-VEC: A multi-agent deep graph reinforcement learning algorithm. China Communications. 21(8). 79–88. 1 indexed citations

6.

Han, Rujun, Peng Qi, Yumo Xu, et al.. (2024). RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering. 4354–4374. 6 indexed citations

7.

Wang, Siyuan, Bo Peng, Yichao Liu, & Peng Qi. (2023). Fine-grained Medical Vision-Language Representation Learning for Radiology Report Generation. 15949–15956. 6 indexed citations

8.

Zhang, Yuhao, et al.. (2021). Biomedical and clinical English model packages for the Stanza Python NLP library. Journal of the American Medical Informatics Association. 28(9). 1892–1899. 72 indexed citations

9.

Qi, Peng, et al.. (2020). Misalignment Calculation on Off-Axis Telescope System via Fully Connected Neural Network. IEEE photonics journal. 12(4). 1–12. 8 indexed citations

10.

Dong, Li, Haotong Ma, Peng Qi, et al.. (2019). Experimental Study of a Multispectral Piston Sensing Technology. IEEE photonics journal. 11(3). 1–10. 2 indexed citations

11.

Qi, Peng, Timothy Dozat, Yuhao Zhang, & Christopher D. Manning. (2018). Universal Dependency Parsing from Scratch. 160–170. 132 indexed citations

12.

Dozat, Timothy, Peng Qi, & Christopher D. Manning. (2017). Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. 20–30. 111 indexed citations

13.

Chaganty, Arun Tejasvi, Ashwin Paranjape, Jason Bolton, et al.. (2017). Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.. Theory and applications of categories. 2 indexed citations

14.

Zhang, Yuhao, Arun Tejasvi Chaganty, Ashwin Paranjape, et al.. (2016). Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.. Theory and applications of categories. 3 indexed citations

15.

Dong, Li, et al.. (2016). Multi-spectral modulation detection of co-phasing errors for sparse-optical-synthetic-aperture systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9682. 96820W–96820W. 1 indexed citations

16.

Li, Jinying, Peng Qi, Ke Chen, & Chengyu Fu. (2015). High precision pointing system based on Risley prism: analysis and simulation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9255. 92551I–92551I. 7 indexed citations

17.

Qi, Peng, et al.. (2013). Design and simulation of multi-user direct sequence spread spectrum system based on m sub-sequence. 1–4.

18.

Qi, Peng. (2011). Status and Problem and Countermeasures of Brewing Sorghum in Guizhou. Seed. 2 indexed citations

19.

Song, Min, et al.. (2011). Application of Bayesian network in tylosin fermentation.. 3. 35–37. 1 indexed citations

20.

Qi, Peng, et al.. (2000). A 3-D composite model for numerical simulation of nonlinear waves. The Proceedings of the ... International Offshore and Polar Engineering Conference. 3. 68–73. 2 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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