Jinlan Fu

5.7k total citations · 1 hit paper
28 papers, 2.9k citations indexed

About

Jinlan Fu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinlan Fu has authored 28 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jinlan Fu's work include Topic Modeling (20 papers), Natural Language Processing Techniques (19 papers) and Advancements in Semiconductor Devices and Circuit Design (4 papers). Jinlan Fu is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (19 papers) and Advancements in Semiconductor Devices and Circuit Design (4 papers). Jinlan Fu collaborates with scholars based in China, United States and Singapore. Jinlan Fu's co-authors include Pengfei Liu, Graham Neubig, Weizhe Yuan, Hiroaki Hayashi, Zhengbao Jiang, Xuanjing Huang, Qi Zhang, Xiaoyu Liu, Zhongyu Wei and Qi Zhang and has published in prestigious journals such as ACM Computing Surveys, IEEE Electron Device Letters and ECS Transactions.

In The Last Decade

Jinlan Fu

24 papers receiving 2.8k citations

Hit Papers

Pre-train, Prompt, and Predict: A Systematic Survey of Pr... 2022 2026 2023 2024 2022 500 1000 1.5k 2.0k
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. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
    2022 2.0k citations Pengfei Liu, Weizhe Yuan et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinlan Fu China 15 2.1k 538 439 193 136 28 2.9k
Hiroaki Hayashi Japan 9 1.6k 0.7× 423 0.8× 342 0.8× 105 0.5× 90 0.7× 19 2.3k
Zhengbao Jiang United States 11 1.8k 0.9× 508 0.9× 485 1.1× 132 0.7× 50 0.4× 16 2.6k
Weizhe Yuan United States 5 1.4k 0.7× 411 0.8× 344 0.8× 107 0.6× 46 0.3× 13 2.1k
Tong Xu China 26 1.2k 0.6× 527 1.0× 468 1.1× 158 0.8× 76 0.6× 149 2.2k
Hannaneh Hajishirzi United States 31 3.5k 1.7× 1.1k 2.1× 556 1.3× 190 1.0× 47 0.3× 114 4.1k
Shaoxiong Ji Finland 14 1.7k 0.8× 213 0.4× 347 0.8× 242 1.3× 61 0.4× 26 2.6k
Yi Tay Singapore 26 2.1k 1.0× 680 1.3× 954 2.2× 249 1.3× 87 0.6× 71 3.0k
Shuming Shi China 31 2.3k 1.1× 644 1.2× 547 1.2× 88 0.5× 135 1.0× 184 3.4k

Countries citing papers authored by Jinlan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jinlan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlan Fu. A scholar is included among the top collaborators of Jinlan Fu 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 Jinlan Fu. Jinlan Fu 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.
Ng, See-Kiong, et al.. (2025). OmniDialog: An Omnipotent Pre-Training Model for Task-Oriented Dialogue System. IEEE Transactions on Audio Speech and Language Processing. 33. 4726–4735.
2.
Zhang, Yongting, Guodong Zheng, Rui Zheng, et al.. (2025). SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models. 19867–19878.
3.
4.
5.
Zhao, Aimin, et al.. (2024). Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism. 12375–12400. 1 indexed citations
6.
Li, Shimin, Tianxiang Sun, Jinlan Fu, et al.. (2024). LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. 6632–6646. 3 indexed citations
7.
Fu, Jinlan, See-Kiong Ng, & Pengfei Liu. (2022). Polyglot Prompt: Multilingual Multitask Prompt Training. 9919–9935. 5 indexed citations
8.
Liu, Pengfei, Weizhe Yuan, Jinlan Fu, et al.. (2022). Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Computing Surveys. 55(9). 1–35. 2003 indexed citations breakdown →
9.
Fu, Jinlan, Xuanjing Huang, & Pengfei Liu. (2021). SpanNER: Named Entity Re-/Recognition as Span Prediction. 7183–7195. 65 indexed citations
10.
Zhang, Chong, et al.. (2021). A Partition Filter Network for Joint Entity and Relation Extraction. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 185–197. 78 indexed citations
11.
Fu, Jinlan, et al.. (2021). Larger-Context Tagging: When and Why Does It Work?. 1463–1475. 1 indexed citations
12.
Liu, Pengfei, Jinlan Fu, Xiao Yang, et al.. (2021). ExplainaBoard: An Explainable Leaderboard for NLP. 280–289. 25 indexed citations
13.
Liu, Pengfei, et al.. (2021). Towards More Fine-grained and Reliable NLP Performance Prediction. 3703–3714. 17 indexed citations
14.
Zhang, Qi, et al.. (2020). A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving. 7137–7146. 43 indexed citations
15.
Fu, Jinlan, Pengfei Liu, & Graham Neubig. (2020). Interpretable Multi-dataset Evaluation for Named Entity Recognition. 6058–6069. 21 indexed citations
16.
Fu, Jinlan, Pengfei Liu, Qi Zhang, & Xuanjing Huang. (2020). RethinkCWS: Is Chinese Word Segmentation a Solved Task?. 5676–5686. 13 indexed citations
17.
Fu, Jinlan, Pengfei Liu, & Qi Zhang. (2020). Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7732–7739. 39 indexed citations
18.
Gui, Tao, Yicheng Zou, Qi Zhang, et al.. (2019). A Lexicon-Based Graph Neural Network for Chinese NER. 1040–1050. 154 indexed citations
19.
Fu, Jinlan, Yu Jiang, Navaneet Kumar Singh, et al.. (2009). Polycrystalline Si Nanowire SONOS Nonvolatile Memory Cell Fabricated on a Gate-All-Around (GAA) Channel Architecture. IEEE Electron Device Letters. 30(3). 246–249. 15 indexed citations
20.
Balasubramanian, Narayanan, Navab Singh, Kavitha D. Buddharaju, et al.. (2008). Si Nanowire CMOS Transistors and Circuits by Top-Down Technology Approach. ECS Transactions. 13(1). 201–211. 1 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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