Jingfei Du

18.6k total citations
11 papers, 299 citations indexed

About

Jingfei Du is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jingfei Du has authored 11 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Jingfei Du's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (2 papers). Jingfei Du is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (2 papers). Jingfei Du collaborates with scholars based in United States, China and Israel. Jingfei Du's co-authors include Veselin Stoyanov, Myle Ott, Xiaoqiu Huang, Patrick Lewis, Hua Xu, Alexis Conneau, Édouard Grave, Beliz Gunel, Vishrav Chaudhary and Onur Çelebi and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Jingfei Du

11 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingfei Du United States	8	221	52	48	32	27	11	299
Zhunchen Luo China	9	199 0.9×	14 0.3×	34 0.7×	39 1.2×	13 0.5×	23	290
Jagadeesh Jagarlamudi United States	10	391 1.8×	52 1.0×	23 0.5×	21 0.7×	6 0.2×	17	447
Lisa Ferro United States	10	301 1.4×	19 0.4×	19 0.4×	16 0.5×	24 0.9×	30	391
Lijun Liu China	6	173 0.8×	19 0.4×	12 0.3×	14 0.4×	30 1.1×	28	262
Béatrice Daille France	11	416 1.9×	19 0.4×	66 1.4×	14 0.4×	5 0.2×	39	520
Dimitrios Kotzias United States	6	179 0.8×	26 0.5×	9 0.2×	20 0.6×	4 0.1×	10	275
Pradeep Muthukrishnan United States	7	260 1.2×	26 0.5×	44 0.9×	14 0.4×	32 1.2×	11	349
Eric Malmi Finland	10	225 1.0×	37 0.7×	13 0.3×	15 0.5×	6 0.2×	26	304
Yannis Katsis United States	10	193 0.9×	15 0.3×	55 1.1×	18 0.6×	4 0.1×	31	299
Robin Aly Netherlands	10	120 0.5×	176 3.4×	8 0.2×	21 0.7×	7 0.3×	37	338

Countries citing papers authored by Jingfei Du

Since Specialization

Citations

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

Fields of papers citing papers by Jingfei Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingfei Du

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

11 of 11 papers shown

Singh, Harman Preet, Pengchuan Zhang, Qifan Wang, et al.. (2023). Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. 869–893. 7 indexed citations

Chen, Peng‐Jen, Kevin Tran, Yilin Yang, et al.. (2023). Speech-to-Speech Translation for a Real-world Unwritten Language. 4969–4983. 12 indexed citations

Gong, Hongyu, Ning Dong, Jingfei Du, et al.. (2023). SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations. SPIRE - Sciences Po Institutional REpository. 16251–16269. 11 indexed citations

Artetxe, Mikel, Jingfei Du, Naman Goyal, Luke Zettlemoyer, & Veselin Stoyanov. (2022). On the Role of Bidirectionality in Language Model Pre-Training. 3973–3985. 7 indexed citations

Xia, Mengzhou, Mikel Artetxe, Jingfei Du, Danqi Chen, & Veselin Stoyanov. (2022). Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. 11351–11361. 6 indexed citations

Chen, Mingda, Jingfei Du, Ramakanth Pasunuru, et al.. (2022). Improving In-Context Few-Shot Learning via Self-Supervised Training. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 17 indexed citations

Du, Jingfei, Édouard Grave, Beliz Gunel, et al.. (2021). Self-training Improves Pre-training for Natural Language Understanding. 5408–5418. 75 indexed citations

Lewis, Patrick, Myle Ott, Jingfei Du, & Veselin Stoyanov. (2020). Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art. 146–157. 93 indexed citations

Du, Jingfei, et al.. (2020). General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference. 3018–3030. 3 indexed citations

10.

Wang, Wei, Hua Xu, Xiaoqiu Huang, & Jingfei Du. (2014). WITHDRAWN: Implicit feature identification in Chinese reviews via explicit topic model and SVM. Knowledge-Based Systems. 1 indexed citations

11.

Du, Jingfei, Hua Xu, & Xiaoqiu Huang. (2013). Box office prediction based on microblog. Expert Systems with Applications. 41(4). 1680–1689. 67 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