Tianhao Zhao

1.7k total citations
13 papers, 349 citations indexed

About

Tianhao Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tianhao Zhao has authored 13 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tianhao Zhao's work include AI in cancer detection (6 papers), Cell Image Analysis Techniques (3 papers) and Digital Imaging for Blood Diseases (2 papers). Tianhao Zhao is often cited by papers focused on AI in cancer detection (6 papers), Cell Image Analysis Techniques (3 papers) and Digital Imaging for Blood Diseases (2 papers). Tianhao Zhao collaborates with scholars based in China, United States and Australia. Tianhao Zhao's co-authors include Tahsin Kurç, Joel Saltz, Le Hou, Rajarsi Gupta, Vu Nguyen, Yi Gao, Dimitris Samaras, Rebecca Batiste, David J. Foran and Dimitris Samaras and has published in prestigious journals such as The Journal of Physical Chemistry B, Cancer Research and American Journal Of Pathology.

In The Last Decade

Tianhao Zhao

13 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tianhao Zhao China	7	233	163	94	57	56	13	349
Nick Weiss Germany	10	176 0.8×	151 0.9×	104 1.1×	53 0.9×	49 0.9×	16	353
Mart van Rijthoven Netherlands	7	231 1.0×	169 1.0×	116 1.2×	53 0.9×	76 1.4×	8	338
Rob van de Loo Netherlands	5	297 1.3×	212 1.3×	126 1.3×	71 1.2×	49 0.9×	5	379
Luca L. Weishaupt United States	3	288 1.2×	225 1.4×	85 0.9×	46 0.8×	61 1.1×	6	499
Liang-Bo Wang United States	5	231 1.0×	175 1.1×	116 1.2×	32 0.6×	71 1.3×	9	368
Ivy Liang United States	2	228 1.0×	161 1.0×	72 0.8×	33 0.6×	38 0.7×	3	385
Zhaoxuan Ma United States	8	254 1.1×	182 1.1×	84 0.9×	53 0.9×	64 1.1×	9	377
Mostafa Jahanifar United Kingdom	10	256 1.1×	177 1.1×	109 1.2×	45 0.8×	87 1.6×	20	376
Mike Feldman United States	4	267 1.1×	164 1.0×	170 1.8×	41 0.7×	38 0.7×	4	395
Ronnachai Jaroensri United States	5	200 0.9×	151 0.9×	61 0.6×	24 0.4×	57 1.0×	7	328

Countries citing papers authored by Tianhao Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Tianhao Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianhao Zhao

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

All Works

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13 of 13 papers shown

Zhao, Tianhao, Li Han, Liangliang Lin, et al.. (2025). Multi-source signals synthesized via CGAN as fused process signatures for space domain surface topography prediction. Mechanical Systems and Signal Processing. 233. 112784–112784. 1 indexed citations

Wang, Libo, et al.. (2025). Cardiac protection of wogonin in mice with pulmonary fibrosis by regulating Sirt1/ γ-H2AX pathway. Frontiers in Pharmacology. 16. 1551141–1551141. 1 indexed citations

Zhao, Tianhao & Syed Ahsan Ali Shah. (2024). Green Energy, Economic Growth, and Innovation for Sustainable Development in OECD Countries. Sustainability. 16(22). 10113–10113. 3 indexed citations

Zhao, Chunhui, Nan Su, Yiming Yan, et al.. (2023). A Label Correction Learning Framework for Gully Erosion Extraction Using High-Resolution Remote Sensing Images and Noisy Labels. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 1638–1655. 2 indexed citations

Xu, Yang, Yanlin Wu, Lingyu Zhang, et al.. (2023). Piceatannol protects against age-related hearing loss by inhibiting cellular pyroptosis and inflammation through regulated Caspase11-GSDMD pathway. Biomedicine & Pharmacotherapy. 163. 114704–114704. 21 indexed citations

Huang, Jun, Cuiting Wang, Xiaxia Yu, et al.. (2022). Expectation-maximization algorithm leads to domain adaptation for a perineural invasion and nerve extraction task in whole slide digital pathology images. Medical & Biological Engineering & Computing. 61(2). 457–473. 5 indexed citations

Zhang, Jiandong, Zhihao Yang, Kun Chen, et al.. (2022). Efficacy of adaptive ventilation support combined with lung recruitment maneuvering for acute respiratory distress syndrome.. PubMed. 14(3). 2109–2116. 5 indexed citations

Abousamra, Shahira, Rajarsi Gupta, Le Hou, et al.. (2022). Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer. Frontiers in Oncology. 11. 806603–806603. 47 indexed citations

Gupta, Rajarsi, Le Hou, Shahira Abousamra, et al.. (2020). Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer. American Journal Of Pathology. 190(7). 1491–1504. 73 indexed citations

10.

Hou, Le, Vu Nguyen, Dimitris Samaras, et al.. (2018). Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images. Pattern Recognition. 86. 188–200. 109 indexed citations

11.

He, Zhifeng, et al.. (2018). Molecular Mechanism Behind the Resistance of the G1202R-Mutated Anaplastic Lymphoma Kinase to the Approved Drug Ceritinib. The Journal of Physical Chemistry B. 122(17). 4680–4692. 14 indexed citations

12.

Kurç, Tahsin, Le Hou, Joel Saltz, et al.. (2018). Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images.. PubMed. 2017. 227–236. 35 indexed citations

13.

Saltz, Joel, Ashish Sharma, Jonas S. Almeida, et al.. (2017). A Containerized Software System for Generation, Management, and Exploration of Features from Whole Slide Tissue Images. Cancer Research. 77(21). e79–e82. 33 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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