Jyun‐Yu Jiang

1.2k total citations
49 papers, 665 citations indexed

About

Jyun‐Yu Jiang is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Jyun‐Yu Jiang has authored 49 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Information Systems and 8 papers in Molecular Biology. Recurrent topics in Jyun‐Yu Jiang's work include Topic Modeling (13 papers), Text and Document Classification Technologies (8 papers) and Recommender Systems and Techniques (6 papers). Jyun‐Yu Jiang is often cited by papers focused on Topic Modeling (13 papers), Text and Document Classification Technologies (8 papers) and Recommender Systems and Techniques (6 papers). Jyun‐Yu Jiang collaborates with scholars based in United States, Taiwan and China. Jyun‐Yu Jiang's co-authors include Wei Wang, Pu‐Jen Cheng, Yichao Zhou, Wei Wang, Kai-Wei Chang, Chelsea J.‐T. Ju, Yizhou Sun, Seungbae Kim, Muhao Chen and Ruirui Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Jyun‐Yu Jiang

46 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jyun‐Yu Jiang United States	14	389	215	93	88	82	49	665
Debasis Ganguly Ireland	14	564 1.4×	358 1.7×	58 0.6×	131 1.5×	43 0.5×	100	806
Alexander Kotov United States	14	463 1.2×	319 1.5×	53 0.6×	72 0.8×	78 1.0×	45	722
Dawid Weiss Poland	8	325 0.8×	326 1.5×	100 1.1×	73 0.8×	31 0.4×	14	551
Ricardo Campos Portugal	10	491 1.3×	208 1.0×	101 1.1×	64 0.7×	34 0.4×	39	654
Xuan-Hieu Phan Japan	11	661 1.7×	255 1.2×	32 0.3×	74 0.8×	51 0.6×	42	825
Víctor Fresno Spain	13	415 1.1×	204 0.9×	36 0.4×	53 0.6×	57 0.7×	62	600
Avishek Anand Germany	15	482 1.2×	163 0.8×	74 0.8×	114 1.3×	22 0.3×	68	651
Kenji Hatano Japan	8	269 0.7×	417 1.9×	108 1.2×	94 1.1×	29 0.4×	41	618
Andrés García-Silva Spain	6	586 1.5×	224 1.0×	43 0.5×	47 0.5×	78 1.0×	20	682
Sachindra Joshi India	14	561 1.4×	196 0.9×	54 0.6×	97 1.1×	21 0.3×	63	670

Countries citing papers authored by Jyun‐Yu Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Jyun‐Yu Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyun‐Yu Jiang. 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 Jyun‐Yu Jiang. The network helps show where Jyun‐Yu Jiang may publish in the future.

Co-authorship network of co-authors of Jyun‐Yu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jyun‐Yu Jiang. A scholar is included among the top collaborators of Jyun‐Yu Jiang 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 Jyun‐Yu Jiang. Jyun‐Yu Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Jyun‐Yu, Wei-Cheng Chang, Jiong Zhang, Cho‐Jui Hsieh, & Hsiang‐Fu Yu. (2024). Entity Disambiguation with Extreme Multi-label Ranking. 4172–4180.

Chen, Xiusi, Jyun‐Yu Jiang, Wei-Cheng Chang, et al.. (2024). MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. 254–266. 1 indexed citations

Jiang, Jyun‐Yu, et al.. (2023). MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases. Cell Reports Methods. 3(3). 100430–100430. 18 indexed citations

Chang, Wei-Cheng, et al.. (2023). FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. 3225–3235. 10 indexed citations

Kim, Seungbae, Jyun‐Yu Jiang, Jinyoung Han, & Wei Wang. (2023). InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. Proceedings of the International AAAI Conference on Web and Social Media. 17. 482–493. 2 indexed citations

Chen, Xiusi, Jyun‐Yu Jiang, & Wei Wang. (2022). Scalable Graph Representation Learning via Locality-Sensitive Hashing. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3878–3882. 3 indexed citations

Chen, Xiusi, Jyun‐Yu Jiang, Yichao Zhou, et al.. (2022). ReLiable:Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3023–3032. 4 indexed citations

Jiang, Jyun‐Yu, Chelsea J.‐T. Ju, Junheng Hao, Muhao Chen, & Wei Wang. (2021). JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites. Bioinformatics. 37(Supplement_1). i289–i298. 15 indexed citations

Kim, Seungbae, Xiusi Chen, Jyun‐Yu Jiang, Jinyoung Han, & Wei Wang. (2021). Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning. Proceedings of the International AAAI Conference on Web and Social Media. 15. 278–289. 5 indexed citations

10.

Jiang, Jyun‐Yu, et al.. (2021). COVID-19 Surveiller: toward a robust and effective pandemic surveillance system based on social media mining. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2214). 20210125–20210125. 11 indexed citations

11.

Ju, Chelsea J.‐T., Jyun‐Yu Jiang, Ruirui Li, Zeyu Li, & Wei Wang. (2021). TahcoRoll: fast genomic signature profiling via thinned automaton and rolling hash. SHILAP Revista de lepidopterología. 1(2). 114–125.

12.

Zhou, Guangyu, Muhao Chen, Chelsea J.‐T. Ju, et al.. (2020). Mutation effect estimation on protein–protein interactions using deep contextualized representation learning. NAR Genomics and Bioinformatics. 2(2). lqaa015–lqaa015. 39 indexed citations

13.

Li, Ruirui, et al.. (2020). Automatic Speaker Recognition with Limited Data. 340–348. 26 indexed citations

14.

Jiang, Jyun‐Yu, et al.. (2020). Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. 2177–2187. 13 indexed citations

15.

Li, Ruirui, et al.. (2020). Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification. 7 indexed citations

16.

Jiang, Jyun‐Yu, Tao Wu, Georgios Roumpos, et al.. (2020). End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. 2870–2877. 4 indexed citations

17.

Zhou, Yichao, Jyun‐Yu Jiang, Kai-Wei Chang, & Wei Wang. (2019). Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. 4903–4912. 73 indexed citations

18.

Jiang, Jyun‐Yu, et al.. (2019). Enhancing Air Quality Prediction with Social Media and Natural Language Processing. 2627–2632. 10 indexed citations

19.

Jiang, Jyun‐Yu, et al.. (2019). Personalized Question Routing via Heterogeneous Network Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 192–199. 38 indexed citations

20.

Jiang, Jyun‐Yu, et al.. (2012). Event Duration Detection on Microblogging. 1. 16–23. 3 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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