Jianchao Tan

1.1k total citations
28 papers, 550 citations indexed

About

Jianchao Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jianchao Tan has authored 28 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jianchao Tan's work include Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (8 papers) and Image Enhancement Techniques (8 papers). Jianchao Tan is often cited by papers focused on Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (8 papers) and Image Enhancement Techniques (8 papers). Jianchao Tan collaborates with scholars based in United States, China and Finland. Jianchao Tan's co-authors include Yotam Gingold, Jyh‐Ming Lien, Jose Echevarria, Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Xiong Zhang, Ji Liu and Cheng Yang and has published in prestigious journals such as ACM Transactions on Graphics, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Jianchao Tan

27 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianchao Tan United States	11	441	132	100	56	44	28	550
Zhengyou Zhang United States	11	679 1.5×	104 0.8×	75 0.8×	23 0.4×	46 1.0×	16	762
Chengying Gao China	11	310 0.7×	125 0.9×	101 1.0×	15 0.3×	80 1.8×	40	465
Paul Upchurch United States	6	342 0.8×	64 0.5×	54 0.5×	17 0.3×	33 0.8×	6	455
Takuya Funatomi Japan	12	297 0.7×	48 0.4×	41 0.4×	31 0.6×	17 0.4×	87	524
Wenju Xu United States	10	247 0.6×	96 0.7×	30 0.3×	35 0.6×	17 0.4×	21	437
Martin Kiefel Germany	6	516 1.2×	33 0.3×	100 1.0×	37 0.7×	205 4.7×	8	605
Chong Mou China	9	506 1.1×	82 0.6×	74 0.7×	10 0.2×	111 2.5×	18	676
Tianhe Yu United States	7	377 0.9×	104 0.8×	48 0.5×	20 0.4×	15 0.3×	13	481
Tianfan Xue Hong Kong	14	551 1.2×	56 0.4×	71 0.7×	14 0.3×	59 1.3×	36	640
Naejin Kong South Korea	6	574 1.3×	45 0.3×	111 1.1×	13 0.2×	51 1.2×	7	707

Countries citing papers authored by Jianchao Tan

Since Specialization

Citations

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

Fields of papers citing papers by Jianchao Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianchao Tan

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

All Works

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20 of 20 papers shown

Hu, Yu, et al.. (2024). PHD-NAS: Preserving helpful data to promote Neural Architecture Search. Neurocomputing. 587. 127646–127646. 1 indexed citations

Tan, Jianchao, et al.. (2023). ColorfulCurves: Palette-Aware Lightness Control and Color Editing via Sparse Optimization. ACM Transactions on Graphics. 42(4). 1–12. 7 indexed citations

Tan, Jianchao, et al.. (2023). Image vectorization and editing via linear gradient layer decomposition. ACM Transactions on Graphics. 42(4). 1–13. 7 indexed citations

Tan, Jianchao, et al.. (2023). LoCoPalettes: Local Control for Palette‐based Image Editing. Computer Graphics Forum. 42(4). 2 indexed citations

Lu, Shun, Yu Hu, Peihao Wang, et al.. (2023). PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8957–8965. 8 indexed citations

Tan, Jianchao, et al.. (2023). SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. 4930–4937. 4 indexed citations

Hu, Yu, et al.. (2023). PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. 11940–11949. 9 indexed citations

Tan, Jianchao, et al.. (2023). Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks. 5204–5213. 3 indexed citations

Tan, Jianchao, et al.. (2023). PaletteNeRF: palette-based color editing for NeRFs. Communications in Information and Systems. 23(4). 447–475. 10 indexed citations

10.

Gao, Xifeng, et al.. (2022). High Quality Superpixel Generation Through Regional Decomposition. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1802–1815. 9 indexed citations

11.

Wang, Yang, Chenxing Li, Feng Deng, et al.. (2022). WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation. Interspeech 2022. 5373–5377.

12.

Lu, Shun, Jixiang Li, Jianchao Tan, Sen Yang, & Ji Liu. (2021). TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. Neural Information Processing Systems. 34. 9 indexed citations

13.

Ding, Xiaohan, et al.. (2021). ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4490–4500. 113 indexed citations

14.

Zhang, Xiong, Hong Mo, Jianchao Tan, et al.. (2021). DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. 13951–13962. 73 indexed citations

15.

Shen, Jiayi, et al.. (2021). UMEC: Unified model and embedding compression for efficient recommendation systems. 2 indexed citations

16.

Huang, Hongsheng, et al.. (2021). Hand Image Understanding via Deep Multi-Task Learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11261–11272. 2 indexed citations

17.

Hu, Zhenyu, Zhenyu Wu, Jiayi Shen, et al.. (2021). E²VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. 905–913. 2 indexed citations

18.

Yuan, Huan, et al.. (2021). GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5219–5230. 23 indexed citations

19.

Tan, Jianchao, Stephen DiVerdi, Jingwan Lu, & Yotam Gingold. (2018). Pigmento: Pigment-Based Image Analysis and Editing. IEEE Transactions on Visualization and Computer Graphics. 25(9). 2791–2803. 19 indexed citations

20.

Tan, Jianchao, Jyh‐Ming Lien, & Yotam Gingold. (2017). Decomposing Images into Layers via RGB-Space Geometry. ACM Transactions on Graphics. 36(4). 1–1. 29 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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