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.
A Diversity-Promoting Objective Function for Neural Conversation Models
20161.1k citationsJiwei Li, Michel Galley et al.profile →
Deep Reinforcement Learning for Dialogue Generation
2016610 citationsJiwei Li, Will Monroe et al.profile →
A Persona-Based Neural Conversation Model
2016481 citationsJiwei Li, Michel Galley et al.profile →
Adversarial Learning for Neural Dialogue Generation
2017467 citationsJiwei Li, Will Monroe et al.profile →
Dice Loss for Data-imbalanced NLP Tasks
2020390 citationsXiaoya Li, Xiaofei Sun et al.profile →
A Hierarchical Neural Autoencoder for Paragraphs and Documents
2015293 citationsJiwei Li, Thang Luong et al.profile →
Pre-Trained Language Models and Their Applications
2022172 citationsJiwei Li, Eduard Hovy et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Jiwei Li'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 Jiwei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiwei Li more than expected).
This network shows the impact of papers produced by Jiwei Li. 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 Jiwei Li. The network helps show where Jiwei Li may publish in the future.
Co-authorship network of co-authors of Jiwei Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jiwei Li.
A scholar is included among the top collaborators of Jiwei Li 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 Jiwei Li. Jiwei Li is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Meng, Yuxian, Kun Kuang, Xiaofei Sun, et al.. (2022). Dependency Parsing as MRC-based Span-Span Prediction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).7 indexed citations
6.
Li, Jiwei, Tianwei Zhang, Xiaoya Li, et al.. (2022). Triggerless Backdoor Attack for NLP Tasks with Clean Labels. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.20 indexed citations
Wu, Wei, et al.. (2020). Description Based Text Classification with Reinforcement Learning. International Conference on Machine Learning. 1. 1371–1382.7 indexed citations
12.
Meng, Yuxian, Wei Wu, Fei Wang, et al.. (2019). Glyce: Glyph-vectors for Chinese Character Representations. arXiv (Cornell University). 32. 2742–2753.35 indexed citations
13.
Fu, Yang, Yunchao Wei, Guanshuo Wang, et al.. (2018). One Shot Domain Adaptation for Person Re-Identification. arXiv (Cornell University).1 indexed citations
14.
Li, Jiwei, Will Monroe, Tianlin Shi, et al.. (2017). Adversarial Learning for Neural Dialogue Generation. 2157–2169.467 indexed citations breakdown →
15.
Li, Jiwei, Michel Galley, Chris Brockett, et al.. (2016). A Persona-Based Neural Conversation Model. 994–1003.481 indexed citations breakdown →
16.
Li, Jiwei, Will Monroe, Alan Ritter, et al.. (2016). Deep Reinforcement Learning for Dialogue Generation. 1192–1202.610 indexed citations breakdown →
17.
Xie, Ziang, Sida I. Wang, Jiwei Li, et al.. (2016). Data Noising as Smoothing in Neural Network Language Models. arXiv (Cornell University).48 indexed citations
18.
Li, Jiwei, Thang Luong, & Dan Jurafsky. (2015). A Hierarchical Neural Autoencoder for Paragraphs and Documents. 1106–1115.293 indexed citations breakdown →
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.