Jingchao Ni

2.3k total citations · 2 hit papers
37 papers, 1.3k citations indexed

About

Jingchao Ni is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Jingchao Ni has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 9 papers in Signal Processing. Recurrent topics in Jingchao Ni's work include Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (13 papers) and Anomaly Detection Techniques and Applications (9 papers). Jingchao Ni is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (13 papers) and Anomaly Detection Techniques and Applications (9 papers). Jingchao Ni collaborates with scholars based in United States, China and Japan. Jingchao Ni's co-authors include Wei Cheng, Bo Zong, Haifeng Chen, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Nitesh V. Chawla, Chuxu Zhang, Xinyang Feng and X. D. Zhang and has published in prestigious journals such as BMC Bioinformatics, IEEE Transactions on Knowledge and Data Engineering and Knowledge and Information Systems.

In The Last Decade

Jingchao Ni

36 papers receiving 1.3k citations

Hit Papers

A Deep Neural Network for Unsupervised Anomaly Detection ... 2019 2026 2021 2023 2019 2021 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. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
    2019 482 citations Dongjin Song, Yuncong Chen et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  2. Learning to Drop: Robust Graph Neural Network via Topological Denoising
    2021 156 citations Dongsheng Luo, Wei Cheng 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
Jingchao Ni United States 17 985 380 362 216 167 37 1.3k
Bo Zong United States 16 1.5k 1.5× 776 2.0× 516 1.4× 190 0.9× 217 1.3× 33 2.0k
Weiren Yu United Kingdom 17 717 0.7× 241 0.6× 141 0.4× 237 1.1× 146 0.9× 50 1.1k
Jun’ichi Takeuchi Japan 13 855 0.9× 430 1.1× 386 1.1× 57 0.3× 96 0.6× 65 1.3k
Andrew O. Arnold United States 12 985 1.0× 384 1.0× 222 0.6× 58 0.3× 205 1.2× 23 1.3k
Levent Ertöz United States 7 920 0.9× 676 1.8× 409 1.1× 81 0.4× 218 1.3× 10 1.3k
Yuichi Nakamura Japan 14 577 0.6× 196 0.5× 132 0.4× 102 0.5× 262 1.6× 65 1.3k
Shaojiang Deng China 21 594 0.6× 439 1.2× 241 0.7× 117 0.5× 370 2.2× 59 1.4k
Manuel López‐Martín Spain 16 1.0k 1.0× 1.1k 2.9× 587 1.6× 62 0.3× 148 0.9× 26 1.6k
Cristian Lumezanu United States 17 1.1k 1.1× 1.1k 3.0× 467 1.3× 44 0.2× 189 1.1× 41 1.8k
Marco Maggini Italy 21 763 0.8× 88 0.2× 120 0.3× 116 0.5× 222 1.3× 84 1.4k

Countries citing papers authored by Jingchao Ni

Since Specialization
Citations

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

Fields of papers citing papers by Jingchao Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingchao Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Jingchao Ni. A scholar is included among the top collaborators of Jingchao Ni 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 Jingchao Ni. Jingchao Ni 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.
Jiang, Yushan, Jingchao Ni, Wenchao Yu, et al.. (2025). Multi-modal Time Series Analysis: A Tutorial and Survey. 6043–6053. 4 indexed citations
3.
Ni, Jingchao, Ziming Zhao, Hanghang Tong, et al.. (2025). Harnessing Vision Models for Time Series Analysis: A Survey. 10612–10620. 1 indexed citations
4.
Luo, Dongsheng, Wei Cheng, Yingheng Wang, et al.. (2023). Time Series Contrastive Learning with Information-Aware Augmentations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4534–4542. 47 indexed citations
5.
Wang, Dongjie, et al.. (2023). Interdependent Causal Networks for Root Cause Localization. 5051–5060. 12 indexed citations
6.
Wang, Tianchun, Wei Cheng, Dongsheng Luo, et al.. (2022). Personalized Federated Learning via Heterogeneous Modular Networks. 1197–1202. 7 indexed citations
7.
Wang, Shen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, & Philip S. Yu. (2022). Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. 2022 IEEE International Conference on Big Data (Big Data). 636–645. 1 indexed citations
8.
Luo, Dongsheng, Wei Cheng, Wenchao Yu, et al.. (2021). Learning to Drop: Robust Graph Neural Network via Topological Denoising. 779–787. 156 indexed citations breakdown →
9.
Chen, Zhengzhang, Jingchao Ni, Wei Cheng, et al.. (2021). FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. 13249–13258. 10 indexed citations
10.
Wang, Lichen, Bo Zong, Wei Cheng, et al.. (2020). Inductive and Unsupervised Representation Learning on Graph Structured Objects. International Conference on Learning Representations. 6 indexed citations
11.
Song, Dongjin, Yuncong Chen, Cristian Lumezanu, et al.. (2020). Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 34(2). 1403–1411. 8 indexed citations
12.
Wang, Shen, Zhengzhang Chen, Xiao Yu, et al.. (2019). Heterogeneous Graph Matching Networks for Unknown Malware Detection. 3762–3770. 42 indexed citations
13.
Ni, Jingchao, Wei Cheng, Wei Fan, & X. D. Zhang. (2017). ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE Transactions on Knowledge and Data Engineering. 30(3). 435–448. 11 indexed citations
14.
Cheng, Wei, Jingchao Ni, Kai Zhang, et al.. (2017). Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Transactions on Knowledge Discovery from Data. 11(4). 1–28. 4 indexed citations
15.
Ni, Jingchao, Wei Cheng, Kai Zhang, et al.. (2017). Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. 1003–1008. 5 indexed citations
16.
Ni, Jingchao, Hongliang Fei, Wei Fan, & X. D. Zhang. (2017). Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. 163–166. 6 indexed citations
17.
Bian, Yuchen, et al.. (2017). Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. 21–30. 23 indexed citations
18.
Ni, Jingchao, Wei Cheng, Wei Fan, & Xiang Zhang. (2016). Self-Grouping Multi-network Clustering. PubMed. 1. 1119–1124. 7 indexed citations
19.
Ni, Jingchao, Mehmet Koyutürk, Hanghang Tong, et al.. (2016). Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinformatics. 17(1). 453–453. 24 indexed citations
20.
Ni, Jingchao, Hanghang Tong, Wei Fan, & Xiang Zhang. (2014). Inside the atoms. 1356–1365. 44 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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