Ziyi Kou

875 total citations
35 papers, 392 citations indexed

About

Ziyi Kou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Ziyi Kou has authored 35 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Sociology and Political Science. Recurrent topics in Ziyi Kou's work include Misinformation and Its Impacts (11 papers), Topic Modeling (10 papers) and Mobile Crowdsensing and Crowdsourcing (10 papers). Ziyi Kou is often cited by papers focused on Misinformation and Its Impacts (11 papers), Topic Modeling (10 papers) and Mobile Crowdsensing and Crowdsourcing (10 papers). Ziyi Kou collaborates with scholars based in United States, Netherlands and Saudi Arabia. Ziyi Kou's co-authors include Dong Wang, Lanyu Shang, Yang Zhang, Daniel Zhang, Huimin Zeng, Zhenrui Yue, Xiangliang Zhang, Yang Zhang, Shichao Pei and Chenliang Xu and has published in prestigious journals such as Knowledge-Based Systems, Proceedings of the ACM on Human-Computer Interaction and IEEE Transactions on Computational Social Systems.

In The Last Decade

Ziyi Kou

34 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziyi Kou United States 11 258 178 96 60 51 35 392
Huimin Zeng United States 8 192 0.7× 55 0.3× 95 1.0× 72 1.2× 6 0.1× 40 280
Marco Fisichella Germany 11 179 0.7× 42 0.2× 54 0.6× 42 0.7× 20 0.4× 44 313
Ji Lucas Qatar 4 159 0.6× 132 0.7× 47 0.5× 22 0.4× 28 0.5× 7 359
Youness Madani Morocco 11 190 0.7× 60 0.3× 134 1.4× 13 0.2× 47 0.9× 23 275
Nuria Rodríguez-Barroso Spain 6 307 1.2× 46 0.3× 43 0.4× 17 0.3× 36 0.7× 10 359
Dmitrii Usynin Germany 6 310 1.2× 36 0.2× 40 0.4× 42 0.7× 14 0.3× 9 412
Saptarshi Chakraborty India 10 218 0.8× 109 0.6× 28 0.3× 101 1.7× 23 0.5× 22 357
Samuel Yeom United States 4 424 1.6× 42 0.2× 31 0.3× 54 0.9× 14 0.3× 6 495
Ivan Koychev Bulgaria 10 320 1.2× 118 0.7× 177 1.8× 31 0.5× 15 0.3× 50 431
Fatemehsadat Mireshghallah United States 11 285 1.1× 28 0.2× 36 0.4× 60 1.0× 12 0.2× 15 367

Countries citing papers authored by Ziyi Kou

Since Specialization
Citations

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

Fields of papers citing papers by Ziyi Kou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyi Kou

This figure shows the co-authorship network connecting the top 25 collaborators of Ziyi Kou. A scholar is included among the top collaborators of Ziyi Kou 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 Ziyi Kou. Ziyi Kou 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.
Kou, Ziyi, et al.. (2024). Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion. 1326–1335. 2 indexed citations
3.
Zeng, Huimin, Zhenrui Yue, Ziyi Kou, et al.. (2023). Fairness-aware training of face attribute classifiers via adversarial robustness. Knowledge-Based Systems. 264. 110356–110356. 2 indexed citations
4.
Kou, Ziyi, et al.. (2023). Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. 1097–1106. 2 indexed citations
5.
6.
Kou, Ziyi, Yang Zhang, Daniel Zhang, & Dong Wang. (2022). CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–28. 7 indexed citations
7.
Kou, Ziyi, Lanyu Shang, Yang Zhang, & Dong Wang. (2022). HC-COVID. Proceedings of the ACM on Human-Computer Interaction. 6(GROUP). 1–25. 26 indexed citations
8.
Zhang, Yang, et al.. (2022). An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing. Knowledge-Based Systems. 249. 108997–108997. 7 indexed citations
9.
Yue, Zhenrui, Huimin Zeng, Ziyi Kou, Lanyu Shang, & Dong Wang. (2022). Contrastive Domain Adaptation for Early Misinformation Detection. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2423–2433. 23 indexed citations
10.
Zeng, Huimin, Zhenrui Yue, Ziyi Kou, et al.. (2022). Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. 159–162. 6 indexed citations
11.
Zeng, Huimin, et al.. (2022). On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4893–4899. 3 indexed citations
12.
Kou, Ziyi, Lanyu Shang, Yang Zhang, et al.. (2022). Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5087–5093. 5 indexed citations
13.
Zhang, Yang, et al.. (2021). CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment. IEEE Transactions on Computational Social Systems. 9(5). 1515–1529. 13 indexed citations
14.
Zhang, Yang, et al.. (2021). On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach. Knowledge-Based Systems. 239. 107984–107984. 5 indexed citations
15.
Wang, Shaojie, Wentian Zhao, Ziyi Kou, Jing Shi, & Chenliang Xu. (2021). How to Make a BLT Sandwich? Learning VQA towards Understanding Web Instructional Videos. 1129–1138. 4 indexed citations
16.
Kou, Ziyi, et al.. (2021). FakeSens: A Social Sensing Approach to COVID-19 Misinformation Detection on Social Media. 140–147. 14 indexed citations
17.
Kou, Ziyi, Lanyu Shang, Huimin Zeng, Yang Zhang, & Dong Wang. (2021). ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation. 2021 IEEE International Conference on Big Data (Big Data). 1285–1290. 3 indexed citations
18.
19.
Chen, Lele, et al.. (2020). What comprises a good talking-head video generation?. Computer Vision and Pattern Recognition. 3 indexed citations
20.
Kou, Ziyi, Daniel Zhang, Lanyu Shang, & Dong Wang. (2020). ExFaux: A Weakly Supervised Approach to Explainable Fauxtography Detection. 631–636. 18 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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