Kuan Pang

1.1k total citations · 1 hit paper
7 papers, 395 citations indexed

About

Kuan Pang is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Biophysics. According to data from OpenAlex, Kuan Pang has authored 7 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Molecular Biology and 2 papers in Biophysics. Recurrent topics in Kuan Pang's work include Advanced Steganography and Watermarking Techniques (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Digital Media Forensic Detection (4 papers). Kuan Pang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Digital Media Forensic Detection (4 papers). Kuan Pang collaborates with scholars based in Australia, United States and Canada. Kuan Pang's co-authors include Bo Wang, Haotian Cui, Xiaoming Wang, Hassaan Maan, Nan Duan, Zhaolei Zhang, Yuning Yang, Xiangtao Li, Gary D. Bader and Gen Li and has published in prestigious journals such as Nature Methods and Advanced Science.

In The Last Decade

Kuan Pang

7 papers receiving 382 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.

scGPT: toward building a foundation model for single-cell multi-omics using generative AI

2024 349 citations Haotian Cui, Xiaoming Wang et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuan Pang Australia	4	273	69	46	40	39	7	395
Hassaan Maan Canada	7	314 1.2×	75 1.1×	52 1.1×	41 1.0×	10 0.3×	9	480
Kelly Stanton United States	6	200 0.7×	84 1.2×	49 1.1×	34 0.8×	15 0.4×	11	275
Tai-Yun Kim Australia	11	237 0.9×	27 0.4×	40 0.9×	40 1.0×	37 0.9×	29	369
Pierre Machart Germany	6	175 0.6×	44 0.6×	27 0.6×	36 0.9×	15 0.4×	9	228
Haotian Cui Canada	5	400 1.5×	82 1.2×	59 1.3×	43 1.1×	9 0.2×	9	537
Bianca Dumitrascu United States	9	195 0.7×	57 0.8×	36 0.8×	49 1.2×	13 0.3×	17	301
Shengquan Chen China	12	489 1.8×	74 1.1×	89 1.9×	46 1.1×	15 0.4×	49	578
Aditya Pratapa United States	6	476 1.7×	89 1.3×	30 0.7×	23 0.6×	12 0.3×	17	548
Inbal Maayan Israel	6	224 0.8×	222 3.2×	31 0.7×	61 1.5×	61 1.6×	6	456
Bin Duan China	11	534 2.0×	42 0.6×	52 1.1×	40 1.0×	6 0.2×	19	631

Countries citing papers authored by Kuan Pang

Since Specialization

Citations

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

Fields of papers citing papers by Kuan Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan Pang

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

7 of 7 papers shown

1.

Yang, Yuning, et al.. (2024). Deciphering 3'UTR Mediated Gene Regulation Using Interpretable Deep Representation Learning. Advanced Science. 11(39). e2407013–e2407013. 9 indexed citations

2.

Cui, Haotian, Xiaoming Wang, Hassaan Maan, et al.. (2024). scGPT: toward building a foundation model for single-cell multi-omics using generative AI. Nature Methods. 21(8). 1470–1480. 349 indexed citations breakdown →

3.

Pang, Kuan, et al.. (2023). MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition. 3292–3301. 9 indexed citations

4.

Pang, Kuan, et al.. (2002). Performance evaluation of data hiding system using wavelet transform and error-control coding. 1. 605–608. 3 indexed citations

5.

Pang, Kuan, et al.. (2002). Robust data hiding for images. 1. 380–383. 23 indexed citations

6.

Pang, Kuan, et al.. (2002). Wavelet transform and channel coding for data hiding in video. 2. 791–796. 1 indexed citations

7.

Pang, Kuan, et al.. (2002). Coding techniques for data hiding in images. 1. 170–173. 1 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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