Zhuochen Jin

730 total citations
14 papers, 480 citations indexed

About

Zhuochen Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Zhuochen Jin has authored 14 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Zhuochen Jin's work include Data Visualization and Analytics (9 papers), Time Series Analysis and Forecasting (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Zhuochen Jin is often cited by papers focused on Data Visualization and Analytics (9 papers), Time Series Analysis and Forecasting (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Zhuochen Jin collaborates with scholars based in China, United States and Germany. Zhuochen Jin's co-authors include Nan Cao, Shunan Guo, David Gotz, Jiajun Deng, Yijiu Ren, Chang Chen, Gening Jiang, Junqi Wu, Lei Zhang and Dong Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Zhuochen Jin

14 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhuochen Jin China	10	180	160	114	85	53	14	480
Xun Zhao China	13	193 1.1×	215 1.3×	136 1.2×	53 0.6×	36 0.7×	23	577
Ehsan Kazemi United States	13	147 0.8×	438 2.7×	174 1.5×	77 0.9×	28 0.5×	24	991
Antonio Foncubierta–Rodríguez Switzerland	13	187 1.0×	159 1.0×	233 2.0×	67 0.8×	12 0.2×	29	532
Mohammad Amin Morid United States	12	85 0.5×	293 1.8×	182 1.6×	41 0.5×	37 0.7×	20	774
Mehrad Aria Iran	11	105 0.6×	174 1.1×	175 1.5×	24 0.3×	12 0.2×	14	367
Xianling Hu China	6	156 0.9×	259 1.6×	190 1.7×	33 0.4×	8 0.2×	9	391
Erdal Taşçı Türkiye	11	85 0.5×	197 1.2×	182 1.6×	88 1.0×	12 0.2×	39	532
Guadalupe Canahuate United States	12	75 0.4×	100 0.6×	85 0.7×	47 0.6×	76 1.4×	47	369
I‐Jen Chiang Taiwan	15	112 0.6×	170 1.1×	54 0.5×	31 0.4×	17 0.3×	51	563
Matej Gazda Slovakia	9	54 0.3×	125 0.8×	60 0.5×	30 0.4×	42 0.8×	16	356

Countries citing papers authored by Zhuochen Jin

Since Specialization

Citations

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

Fields of papers citing papers by Zhuochen Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuochen Jin

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

All Works

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14 of 14 papers shown

Shi, Yang, et al.. (2023). Supporting Guided Exploratory Visual Analysis on Time Series Data with Reinforcement Learning. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 6 indexed citations

Tang, Hai, Zhuochen Jin, Jiajun Deng, et al.. (2022). Development and validation of a deep learning model to predict the survival of patients in ICU. Journal of the American Medical Informatics Association. 29(9). 1567–1576. 20 indexed citations

Guo, Shunan, Zhuochen Jin, Qing Chen, et al.. (2021). Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4531–4545. 7 indexed citations

Jin, Zhuochen, et al.. (2021). TrammelGraph: visual graph abstraction for comparison. Journal of Visualization. 24(2). 365–379. 9 indexed citations

Guo, Yi, et al.. (2021). Survey on Visual Analysis of Event Sequence Data. IEEE Transactions on Visualization and Computer Graphics. 28(12). 5091–5112. 74 indexed citations

Guo, Shunan, et al.. (2021). Vinci: An Intelligent Graphic Design System for Generating Advertising Posters. 1–17. 48 indexed citations

Jin, Zhuochen, et al.. (2021). Research on corrosion mechanism of overhead conductor. SHILAP Revista de lepidopterología. 233. 1085–1085. 2 indexed citations

Jin, Zhuochen, Shunan Guo, Nan Chen, et al.. (2020). Visual Causality Analysis of Event Sequence Data. IEEE Transactions on Visualization and Computer Graphics. 27(2). 1343–1352. 31 indexed citations

She, Yunlang, Zhuochen Jin, Junqi Wu, et al.. (2020). Development and Validation of a Deep Learning Model for Non–Small Cell Lung Cancer Survival. JAMA Network Open. 3(6). e205842–e205842. 187 indexed citations

10.

Jin, Zhuochen, Nan Cao, Yang Shi, Wenchao Wu, & Yingcai Wu. (2020). EcoLens: visual analysis of ecological regions in urban contexts using traffic data. Journal of Visualization. 24(2). 349–364. 9 indexed citations

11.

Guo, Shunan, Zhuochen Jin, Qing Chen, et al.. (2019). Visual Anomaly Detection in Event Sequence Data. arXiv (Cornell University). 1125–1130. 13 indexed citations

12.

Chen, Nan, et al.. (2019). VisAct: a visualization design system based on semantic actions. Journal of Visualization. 23(2). 339–352. 6 indexed citations

13.

Guo, Shunan, et al.. (2018). Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis. Data Mining and Knowledge Discovery. 32(4). 1056–1073. 20 indexed citations

14.

Guo, Shunan, Zhuochen Jin, David Gotz, et al.. (2018). Visual Progression Analysis of Event Sequence Data. IEEE Transactions on Visualization and Computer Graphics. 25(1). 417–426. 48 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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