He Zhao

499 total citations
23 papers, 241 citations indexed

About

He Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, He Zhao has authored 23 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in He Zhao's work include Topic Modeling (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Adversarial Robustness in Machine Learning (4 papers). He Zhao is often cited by papers focused on Topic Modeling (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Adversarial Robustness in Machine Learning (4 papers). He Zhao collaborates with scholars based in Australia, China and Canada. He Zhao's co-authors include Lan Du, Wray Buntine, Dinh Phung, M. W. Wong, Yuan Jin, Gang Liu, Rezaul Karim, Mennatullah Siam, Richard P. Wildes and Jinpeng Hu and has published in prestigious journals such as Neurocomputing, Information Processing & Management and Journal of Modern Optics.

In The Last Decade

He Zhao

22 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
He Zhao Australia	9	157	60	41	30	26	23	241
David Alvarez-Melis United States	5	300 1.9×	77 1.3×	8 0.2×	21 0.7×	5 0.2×	8	360
Konstantin Vorontsov Russia	9	177 1.1×	25 0.4×	68 1.7×	41 1.4×	1 0.0×	46	274
Prafulla Kumar Choubey United States	9	276 1.8×	38 0.6×	20 0.5×	35 1.2×		26	328
Massih-Reza Amini France	10	172 1.1×	50 0.8×	9 0.2×	57 1.9×		35	256
Md Abul Bashar Australia	7	112 0.7×	58 1.0×	6 0.1×	29 1.0×		23	203
Johannes Welbl United Kingdom	5	516 3.3×	130 2.2×	14 0.3×	55 1.8×		10	554
Kapil Thadani United States	12	299 1.9×	35 0.6×	6 0.1×	42 1.4×		27	355
Atulya Velivelli United States	6	186 1.2×	56 0.9×	10 0.2×	102 3.4×		11	277
Yitong Li China	9	267 1.7×	56 0.9×	5 0.1×	51 1.7×		42	330
Jean-Charles Lamirel France	8	142 0.9×	37 0.6×	10 0.2×	57 1.9×		43	213

Countries citing papers authored by He Zhao

Since Specialization

Citations

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

Fields of papers citing papers by He Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Zhao

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

Zhao, He, et al.. (2024). Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition. 18730–18739. 1 indexed citations

Zhao, He, et al.. (2023). Contrastively enforcing distinctiveness for multi-label image classification. Neurocomputing. 555. 126605–126605. 8 indexed citations

Zhao, He, et al.. (2023). Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. 15783–15792. 3 indexed citations

Karim, Rezaul, He Zhao, Richard P. Wildes, & Mennatullah Siam. (2023). MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation. 6323–6333. 15 indexed citations

Nguyen-Duc, Thanh, Trung Le, He Zhao, Jianfei Cai, & Dinh Phung. (2023). Adversarial local distribution regularization for knowledge distillation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4670–4679. 4 indexed citations

Le, Trung, Van Nguyen, He Zhao, et al.. (2023). Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations. 2211–2222. 2 indexed citations

Nguyen-Duc, Thanh, He Zhao, Jianfei Cai, & Dinh Phung. (2022). MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–4. 1 indexed citations

Hu, Jinpeng, et al.. (2022). A Label-Aware Autoregressive Framework for Cross-Domain NER. 16 indexed citations

Zhao, He, et al.. (2022). First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 2022. 1–4. 1 indexed citations

10.

Le, Trung, et al.. (2021). MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning. Monash University Research Portal (Monash University). 10 indexed citations

11.

Zhao, He, et al.. (2021). Topic Modelling Meets Deep Neural Networks: A Survey. Monash University Research Portal (Monash University). 4713–4720. 72 indexed citations

12.

Phung, Dinh, et al.. (2021). Optimal Transport for Deep Generative Models: State of the Art and Research Challenges. Monash University Research Portal (Monash University). 4450–4457. 4 indexed citations

13.

Zhao, He, et al.. (2020). OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling. Monash University Research Portal (Monash University). 33. 18573–18582. 2 indexed citations

14.

Zhao, He, Piyush Rai, Lan Du, & Wray Buntine. (2018). Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. International Conference on Artificial Intelligence and Statistics. 1943–1951. 6 indexed citations

15.

Pujol, Joan Capdevila, He Zhao, François Petitjean, & Wray Buntine. (2018). Experiments with learning graphical models on text. Behaviormetrika. 45(2). 363–387.

16.

Zhao, He, Lan Du, Wray Buntine, & Gang Liu. (2018). Leveraging external information in topic modelling. Knowledge and Information Systems. 61(2). 661–693. 14 indexed citations

17.

Zhao, He, Lan Du, & Wray Buntine. (2017). A Word Embeddings Informed Focused Topic Model. Asian Conference on Machine Learning. 423–438. 18 indexed citations

18.

Zhao, He, Lan Du, Wray Buntine, & Gang Liu. (2017). MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. 635–644. 24 indexed citations

19.

Zhao, He & Kikuo Ujihara. (2006). Interference effects in the spontaneous emission from two initially excited atoms. Journal of Modern Optics. 53(5-6). 835–855. 2 indexed citations

20.

Zhao, He & M. W. Wong. (1999). Wavelet multipliers and signals. The Journal of the Australian Mathematical Society Series B Applied Mathematics. 40(4). 437–446. 26 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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