Nisha Huang

477 total citations · 1 hit paper
8 papers, 232 citations indexed

About

Nisha Huang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Cognitive Neuroscience. According to data from OpenAlex, Nisha Huang has authored 8 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 1 paper in Cognitive Neuroscience. Recurrent topics in Nisha Huang's work include Generative Adversarial Networks and Image Synthesis (7 papers), Computer Graphics and Visualization Techniques (6 papers) and Video Analysis and Summarization (2 papers). Nisha Huang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Computer Graphics and Visualization Techniques (6 papers) and Video Analysis and Summarization (2 papers). Nisha Huang collaborates with scholars based in China, Taiwan and Palestinian Territory. Nisha Huang's co-authors include Weiming Dong, Fan Tang, Changsheng Xu, Yuxin Zhang, Haibin Huang, Chongyang Ma, Oliver Deußen, Tong‐Yee Lee, Jie Guo and Ronghui Li and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Nisha Huang

5 papers receiving 229 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inversion-based Style Transfer with Diffusion Models

2023 139 citations Yuxin Zhang, Nisha Huang et al. profile →

Peers

Nisha Huang

CVPR

CGCD

AI

SP

CM

Yael Vinker Israel

Artsiom Sanakoyeu Germany

Haozhi Huang China

Kenan E. Ak Singapore

Gihyun Kwon South Korea

Balázs Kovács United States

Angela S. Lin United Kingdom

Narek Tumanyan Israel

Yong-Goo Shin South Korea

Hila Chefer Israel

Yael Vinker Israel

Nisha Huang

276 ×1.5

CVPR

97 ×1.6

CGCD

67 ×1.6

AI

19 ×0.7

SP

44 ×1.9

CM

Citations per year, relative to Nisha Huang Nisha Huang (= 1×) peers Yael Vinker

Countries citing papers authored by Nisha Huang

Since Specialization

Citations

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

Fields of papers citing papers by Nisha Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Huang. A scholar is included among the top collaborators of Nisha Huang 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 Nisha Huang. Nisha Huang 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:

8 of 8 papers shown

1.

Huang, Nisha, Weiming Dong, Yuxin Zhang, et al.. (2025). CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis With Multimodal Diffusion. IEEE Transactions on Visualization and Computer Graphics. 31(10). 8425–8438.

2.

Huang, Nisha, et al.. (2025). ICE: Intercede Concept Erasure in Text-to-Image Diffusion Models. 11328–11336.

3.

Huang, Nisha, Yuxin Zhang, Fan Tang, et al.. (2024). DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3370–3383. 14 indexed citations

4.

Huang, Nisha, Yuxin Zhang, & Weiming Dong. (2024). Style-A-Video: Agile Diffusion for Arbitrary Text-Based Video Style Transfer. IEEE Signal Processing Letters. 31. 1494–1498. 4 indexed citations

5.

Zhang, Yuxin, Weiming Dong, Fan Tang, et al.. (2023). ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models. ACM Transactions on Graphics. 42(6). 1–14. 51 indexed citations

6.

Zhang, Yuxin, Nisha Huang, Fan Tang, et al.. (2023). Inversion-based Style Transfer with Diffusion Models. 10146–10156. 139 indexed citations breakdown →

7.

Huang, Nisha, et al.. (2022). Language-driven Diversified Image Retargeting. 1–2.

8.

Huang, Nisha, Fan Tang, Weiming Dong, & Changsheng Xu. (2022). Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion. Proceedings of the 30th ACM International Conference on Multimedia. 1085–1094. 24 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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