Jiaming Shen

1.9k total citations
57 papers, 716 citations indexed

About

Jiaming Shen is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiaming Shen has authored 57 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 8 papers in Molecular Biology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiaming Shen's work include Topic Modeling (28 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (13 papers). Jiaming Shen is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (13 papers). Jiaming Shen collaborates with scholars based in United States, China and South Korea. Jiaming Shen's co-authors include Jiawei Han, Chao Zhang, Meng Yu, Xiang Ren, Yuning Mao, Brian M. Sadler, Jingbo Shang, Jin Bo, Bo Shen and Boshi Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Chemical Engineering Science and Frontiers in Plant Science.

In The Last Decade

Jiaming Shen

53 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiaming Shen United States	16	447	109	104	58	44	57	716
Yudan Liu China	14	158 0.4×	228 2.1×	94 0.9×	37 0.6×	21 0.5×	46	786
Mingquan Ye China	11	180 0.4×	51 0.5×	154 1.5×	82 1.4×	11 0.3×	39	527
Xiao Shen China	13	404 0.9×	45 0.4×	52 0.5×	107 1.8×	29 0.7×	41	662
Abdullah Y. Muaad India	17	279 0.6×	62 0.6×	24 0.2×	100 1.7×	27 0.6×	37	715
James Cussens United Kingdom	15	505 1.1×	77 0.7×	56 0.5×	24 0.4×	5 0.1×	65	710
Xiatian Zhang China	13	198 0.4×	352 3.2×	31 0.3×	141 2.4×	4 0.1×	23	646
Carmen Peláez-Moreno Spain	12	286 0.6×	58 0.5×	61 0.6×	116 2.0×	4 0.1×	62	563
Janani Venugopalan United States	11	309 0.7×	37 0.3×	91 0.9×	74 1.3×	5 0.1×	22	790
Yanan Lu China	12	117 0.3×	13 0.1×	55 0.5×	97 1.7×	27 0.6×	31	478

Countries citing papers authored by Jiaming Shen

Since Specialization

Citations

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

Fields of papers citing papers by Jiaming Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaming Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Shen. A scholar is included among the top collaborators of Jiaming Shen 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 Jiaming Shen. Jiaming Shen 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

1.

Feng, Rui, et al.. (2025). Enhancing regioselectivity through channel confinement in atomically dispersed Rh@S-1 catalyst for 1-hexene hydroformylation. Chemical Engineering Science. 320. 122524–122524.

2.

Liu, Tianqi, Justin Chiu, Jiaming Shen, et al.. (2024). Predicting Text Preference Via Structured Comparative Reasoning. 10040–10060.

3.

Shen, Jiaming, et al.. (2024). ELLK-Net: An Efficient Lightweight Large Kernel Network for SAR Ship Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 19 indexed citations

4.

Lu, Yingfeng, Qinghui Chen, Youyi Zhang, et al.. (2024). Impact of COVID‐19 Nonpharmaceutical Interventions on Respiratory Syncytial Virus Infections in Hospitalized Children. Influenza and Other Respiratory Viruses. 18(4). e13291–e13291. 5 indexed citations

5.

Zhang, Rongzhi, et al.. (2024). Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. 4278–4289. 1 indexed citations

6.

Zhang, Rongzhi, Jiaming Shen, Tianqi Liu, et al.. (2024). PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. 15623–15636. 1 indexed citations

7.

Yu, Yue, Jiaming Shen, Tianqi Liu, et al.. (2024). Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. 14002–14024. 1 indexed citations

8.

Bai, Lin, et al.. (2023). FCA-Net: A Fast Inference and Channel Attention Based Network for Hyperspectral Image Classification. Journal of Physics Conference Series. 2589(1). 12011–12011. 1 indexed citations

9.

Wang, Boshi, Sewon Min, Xiang Deng, et al.. (2023). Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. 2717–2739. 49 indexed citations

10.

Zhang, Rongzhi, Yue Yu, Jiaming Shen, Xiquan Cui, & Chao Zhang. (2023). Local Boosting for Weakly-Supervised Learning. arXiv (Cornell University). 3364–3375. 3 indexed citations

11.

Zhang, Yunan, Le Yan, Zhen Qin, et al.. (2023). Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. 5618–5627. 6 indexed citations

12.

Shen, Jiaming, et al.. (2023). HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. PubMed. 2023. 2052–2056. 7 indexed citations

13.

Jiao, Yizhu, et al.. (2023). Unsupervised Event Chain Mining from Multiple Documents. 1948–1959. 2 indexed citations

14.

Shen, Jiaming, et al.. (2022). Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. Findings of the Association for Computational Linguistics: ACL 2022. 257–268. 29 indexed citations

15.

Lee, Dongha, et al.. (2022). Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. 1687–1700. 1 indexed citations

16.

Shen, Jiaming, Heng Ji, & Jiawei Han. (2020). Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. 303–313. 22 indexed citations

17.

Setty, Shaun P., David A. Liem, Yu Shi, et al.. (2019). Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications. Journal of Visualized Experiments. 3 indexed citations

18.

Setty, Shaun P., David A. Liem, Yu Shi, et al.. (2019). Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications. Journal of Visualized Experiments. 4 indexed citations

19.

Ren, Xiang, Jiaming Shen, Meng Qu, et al.. (2017). Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. 55–60. 9 indexed citations

20.

Shen, Jiaming, et al.. (2016). Modeling Topic-Level Academic Influence in Scientific Literatures.. National Conference on Artificial Intelligence. 6 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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