Zhijing Jin

2.1k total citations · 1 hit paper
34 papers, 900 citations indexed

About

Zhijing Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Zhijing Jin has authored 34 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Sociology and Political Science. Recurrent topics in Zhijing Jin's work include Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers) and Sentiment Analysis and Opinion Mining (4 papers). Zhijing Jin is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers) and Sentiment Analysis and Opinion Mining (4 papers). Zhijing Jin collaborates with scholars based in United States, Switzerland and Germany. Zhijing Jin's co-authors include Di Jin, Peter Szolovits, Joey Tianyi Zhou, Rada Mihalcea, Olga Vechtomova, Zhiting Hu, Enrico Santus, Mrinmaya Sachan, Bernhard Schoelkopf and Yujie Qian and has published in prestigious journals such as PLoS ONE, Journal of Pain and Symptom Management and Computational Linguistics.

In The Last Decade

Zhijing Jin

28 papers receiving 855 citations

Hit Papers

Is BERT Really Robust? A Strong Baseline for Natural Lang... 2020 2026 2022 2024 2020 100 200 300 400
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. Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
    2020 476 citations Di Jin, Zhijing Jin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhijing Jin United States 12 807 140 116 91 49 34 900
Yonatan Belinkov Israel 18 1.0k 1.3× 60 0.4× 262 2.3× 120 1.3× 28 0.6× 62 1.1k
Stella Biderman United States 7 565 0.7× 26 0.2× 98 0.8× 119 1.3× 18 0.4× 15 720
Shashi Narayan United Kingdom 14 1.3k 1.6× 40 0.3× 174 1.5× 113 1.2× 38 0.8× 32 1.5k
Yun-Hsuan Sung United States 10 596 0.7× 75 0.5× 116 1.0× 64 0.7× 32 0.7× 20 695
Roy Ka-Wei Lee Singapore 15 537 0.7× 41 0.3× 96 0.8× 117 1.3× 108 2.2× 63 721
Lizhen Qu Australia 12 386 0.5× 73 0.5× 76 0.7× 183 2.0× 36 0.7× 50 546
Yutai Hou China 10 465 0.6× 24 0.2× 106 0.9× 69 0.8× 24 0.5× 16 570
Javid Ebrahimi United States 8 611 0.8× 147 1.1× 61 0.5× 82 0.9× 62 1.3× 14 667
Tejaswini Deoskar United Kingdom 7 579 0.7× 27 0.2× 105 0.9× 93 1.0× 45 0.9× 17 716
Viviane P. Moreira Brazil 14 417 0.5× 44 0.3× 42 0.4× 153 1.7× 30 0.6× 59 564

Countries citing papers authored by Zhijing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zhijing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijing Jin. A scholar is included among the top collaborators of Zhijing Jin 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 Zhijing Jin. Zhijing Jin 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.
2.
Jin, Zhijing, et al.. (2024). CausalCite: A Causal Formulation of Paper Citations. 8395–8410.
3.
Jin, Zhijing, et al.. (2024). Moûsai: Efficient Text-to-Music Diffusion Models. 8050–8068. 8 indexed citations
4.
Mihalcea, Rada, Ryan L. Boyd, Zhijing Jin, et al.. (2024). How developments in natural language processing help us in understanding human behaviour. Nature Human Behaviour. 8(10). 1877–1889. 5 indexed citations
5.
Jin, Zhijing, et al.. (2024). Analyzing the Role of Semantic Representations in the Era of Large Language Models. 3781–3798. 1 indexed citations
6.
7.
Hupkes, Dieuwke, Mario Giulianelli, Verna Dankers, et al.. (2023). A taxonomy and review of generalization research in NLP. Nature Machine Intelligence. 5(10). 1161–1174. 29 indexed citations
8.
Mireshghallah, Fatemehsadat, et al.. (2023). Membership Inference Attacks against Language Models via Neighbourhood Comparison. 11330–11343. 27 indexed citations
9.
Yu, Ping, Tianlu Wang, Siddharth Verma, et al.. (2023). ALERT: Adapt Language Models to Reasoning Tasks. 1055–1081. 2 indexed citations
10.
11.
Jin, Zhijing, et al.. (2023). When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. SSRN Electronic Journal. 1 indexed citations
12.
Jin, Zhijing, et al.. (2022). Differentially Private Language Models for Secure Data Sharing. 4860–4873. 11 indexed citations
13.
Tamang, Suzanne, Zhijing Jin, & Vyjeyanthi S. Periyakoil. (2022). Revelations from a Machine Learning Analysis of the Most Downloaded Articles Published in Journal of Palliative Medicine 1999–2018. Journal of Palliative Medicine. 26(1). 13–16. 2 indexed citations
14.
Jin, Zhijing, Amir Feder, & Kun Zhang. (2022). CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing. 17–22. 1 indexed citations
15.
Jin, Zhijing, et al.. (2021). Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9499–9513. 15 indexed citations
16.
Jin, Di, Zhijing Jin, & Rada Mihalcea. (2020). Deep Learning for Text Attribute Transfer: A Survey. arXiv (Cornell University). 1 indexed citations
17.
Xing, Xiaoyu, Zhijing Jin, Di Jin, et al.. (2020). Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. 3594–3605. 24 indexed citations
18.
Leiter, Richard E., Enrico Santus, Zhijing Jin, et al.. (2020). An Artificial Intelligence Algorithm to Identify Documented Symptoms in Patients with Heart Failure who Received Cardiac Resynchronization Therapy (S717). Journal of Pain and Symptom Management. 59(2). 537–538. 2 indexed citations
19.
Jin, Di, Zhijing Jin, Joey Tianyi Zhou, & Peter Szolovits. (2019). Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment. arXiv (Cornell University). 83 indexed citations
20.
Jin, Zhijing, et al.. (2019). Unsupervised Text Style Transfer via Iterative Matching and Translation.. arXiv (Cornell University). 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

Breakdown of academic impact, for papers by Yonatan Belinkov Breakdown of academic impact, for papers by Stella Biderman Breakdown of academic impact, for papers by Shashi Narayan Breakdown of academic impact, for papers by Yun-Hsuan Sung Breakdown of academic impact, for papers by Roy Ka-Wei Lee Breakdown of academic impact, for papers by Lizhen Qu Breakdown of academic impact, for papers by Yutai Hou Breakdown of academic impact, for papers by Javid Ebrahimi Breakdown of academic impact, for papers by Tejaswini Deoskar Breakdown of academic impact, for papers by Viviane P. Moreira
Rankless by CCL
2026