Guanghui Qin

453 total citations · 1 hit paper
10 papers, 254 citations indexed

About

Guanghui Qin is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guanghui Qin has authored 10 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guanghui Qin's work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Guanghui Qin is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Guanghui Qin collaborates with scholars based in United States, China and United Kingdom. Guanghui Qin's co-authors include Jason Eisner, Jinpeng Wang, Benjamin Van Durme, Jin-Ge Yao, Chin-Yew Lin, Yukun Feng, Craig Harman, Tongfei Chen, Patrick Xia and Pablo A. Iglesias and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Cell Biology and arXiv (Cornell University).

In The Last Decade

Guanghui Qin

8 papers receiving 244 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.

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

2021 210 citations Guanghui Qin, Jason Eisner profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guanghui Qin United States	6	223	63	28	8	6	10	254
Sho Takase Japan	10	286 1.3×	52 0.8×	29 1.0×	12 1.5×	5 0.8×	31	316
Or Honovich Israel	7	199 0.9×	40 0.6×	29 1.0×	6 0.8×	5 0.8×	10	221
Thomas Scialom France	6	158 0.7×	46 0.7×	18 0.6×	5 0.6×	4 0.7×	12	178
Nikita Nangia United States	5	268 1.2×	73 1.2×	23 0.8×	9 1.1×	4 0.7×	10	293
Ziyu Yao United States	8	117 0.5×	26 0.4×	41 1.5×	5 0.6×	10 1.7×	27	163
Chunting Zhou United States	10	302 1.4×	111 1.8×	16 0.6×	10 1.3×	6 1.0×	20	351
Saab Mansour Germany	10	311 1.4×	44 0.7×	24 0.9×	13 1.6×	3 0.5×	35	333
Da Yin China	7	245 1.1×	79 1.3×	18 0.6×	8 1.0×	3 0.5×	14	277
Naveen Arivazhagan United States	3	214 1.0×	55 0.9×	28 1.0×	9 1.1×	5 0.8×	4	249

Countries citing papers authored by Guanghui Qin

Since Specialization

Citations

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

Fields of papers citing papers by Guanghui Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghui Qin

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

Yuan, Qinling, Guanghui Qin, Jane Borleis, et al.. (2025). Ras-mediated dynamic and biphasic regulation of cell migration. Proceedings of the National Academy of Sciences. 122(30). e2503847122–e2503847122.

2.

Weller, Orion, et al.. (2025). CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation. 7898–7913.

3.

Pal, Dhiman Sankar, Tatsat Banerjee, Guanghui Qin, et al.. (2024). Ras suppression potentiates rear actomyosin contractility-driven cell polarization and migration. Nature Cell Biology. 26(7). 1062–1076. 5 indexed citations

4.

Qin, Guanghui, Yukun Feng, & Benjamin Van Durme. (2023). The NLP Task Effectiveness of Long-Range Transformers. 7 indexed citations

5.

Qin, Guanghui. (2022). Correlation between the Differences between the Two Adjacent Pulse Wave Velocities and Body Mass Index. OALib. 9(1). 1–5. 1 indexed citations

6.

Xia, Patrick, Guanghui Qin, Tongfei Chen, et al.. (2021). LOME: Large Ontology Multilingual Extraction. 149–159. 11 indexed citations

7.

Qin, Guanghui & Jason Eisner. (2021). Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. 5203–5212. 210 indexed citations breakdown →

8.

Mei, Hongyuan, Guanghui Qin, & Jason Eisner. (2019). Imputing Missing Events in Continuous-Time Event Streams. arXiv (Cornell University). 4475–4485. 4 indexed citations

9.

Qin, Guanghui, et al.. (2018). Data2Text Studio: Automated Text Generation from Structured Data. 13–18. 11 indexed citations

10.

Qin, Guanghui, et al.. (2018). Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data. 3761–3771. 5 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.

Explore authors with similar magnitude of impact