Oliver Chang

965 total citations
31 papers, 666 citations indexed

About

Oliver Chang is a scholar working on Oncology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Oliver Chang has authored 31 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 8 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Oliver Chang's work include Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (8 papers) and Digital Imaging for Blood Diseases (5 papers). Oliver Chang is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (8 papers) and Digital Imaging for Blood Diseases (5 papers). Oliver Chang collaborates with scholars based in United States, Iran and Australia. Oliver Chang's co-authors include Juhee Cho, Nayeon Kim, Young‐Hyuck Im, Jeong Eon Lee, Seok Jin Nam, Se Kyung Lee, Lisa K. Koch, Jung‐Hyun Yang, Danbee Kang and Michi M. Shinohara and has published in prestigious journals such as CHEST Journal, IEEE Access and Journal of Investigative Dermatology.

In The Last Decade

Oliver Chang

30 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Chang United States	11	397	156	155	93	71	31	666
Tien V. Nguyen United States	15	76 0.2×	21 0.1×	97 0.6×	460 4.9×	65 0.9×	37	902
Hui Xiao China	20	124 0.3×	14 0.1×	42 0.3×	9 0.1×	21 0.3×	81	1.1k
Chunyan Zhang China	15	122 0.3×	4 0.0×	59 0.4×	10 0.1×	50 0.7×	47	731
Kevin Tan Singapore	15	223 0.6×	32 0.2×	190 1.2×	3 0.0×	159 2.2×	98	1.1k
Daniel K. Lee United States	19	54 0.1×	12 0.1×	8 0.1×	14 0.2×	56 0.8×	64	1.1k
Tohru Tani Japan	17	241 0.6×	19 0.1×	19 0.1×	12 0.1×	26 0.4×	76	814
Nelson United States	10	77 0.2×	16 0.1×	13 0.1×	8 0.1×	32 0.5×	35	616
Hisato Kobayashi Japan	17	59 0.1×	10 0.1×	33 0.2×	24 0.3×	15 0.2×	81	1.0k
Chunfeng Zhang China	11	231 0.6×	9 0.1×	19 0.1×	3 0.0×	39 0.5×	30	680
George M. Saleh United Kingdom	21	58 0.1×	24 0.2×	23 0.1×	93 1.0×	219 3.1×	69	1.3k

Countries citing papers authored by Oliver Chang

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Chang

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

George, Evan, et al.. (2025). Cutaneous Acanthamoebiasis: Two Cases Highlighting Diverse Histopathologic Findings. Journal of Cutaneous Pathology. 52(11). 681–685. 1 indexed citations

Chang, Oliver, et al.. (2024). Robust ROI Detection in Whole Slide Images Guided by Pathologists’ Viewing Patterns. Journal of Imaging Informatics in Medicine. 38(1). 439–454. 2 indexed citations

Chang, Oliver, et al.. (2024). Deep Reinforcement Learning for Autonomous Satellite Responsiveness to Observed Events. 1–10. 1 indexed citations

Liu, Kechun, Beibin Li, Oliver Chang, et al.. (2023). VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023. 1918–1927. 6 indexed citations

Pham, Van-Thuan, et al.. (2023). Beyond the Coverage Plateau: A Comprehensive Study of Fuzz Blockers (Registered Report). 47–55. 4 indexed citations

Wang, Pin‐Chieh, Kathleen F. Kerr, Tad T. Brunyé, et al.. (2022). An analysis of pathologists’ viewing processes as they diagnose whole slide digital images. Journal of Pathology Informatics. 13. 100104–100104. 10 indexed citations

Mokhtari, Mojgan, Sachin Mehta, Stevan R. Knezevich, et al.. (2022). Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net. Journal of Digital Imaging. 35(5). 1238–1249. 8 indexed citations

Li, Beibin, Mojgan Mokhtari, Stevan R. Knezevich, et al.. (2022). Improving the Diagnosis of Skin Biopsies Using Tissue Segmentation. Diagnostics. 12(7). 1713–1713. 5 indexed citations

Koch, Lisa K., Oliver Chang, & Suzanne M. Dintzis. (2021). Medical Education in Pathology: General Concepts and Strategies for Implementation. Archives of Pathology & Laboratory Medicine. 145(9). 1081–1088. 18 indexed citations

10.

Mehta, Sachin, et al.. (2021). Scale-Aware Transformers for Diagnosing Melanocytic Lesions. IEEE Access. 9. 163526–163541. 25 indexed citations

11.

Liu, Kechun, Mojgan Mokhtari, Beibin Li, et al.. (2021). Learning Melanocytic Proliferation Segmentation in Histopathology Images from Imperfect Annotations. 3761–3770. 11 indexed citations

12.

Chang, Oliver, David E. Elder, Raymond L. Barnhill, et al.. (2021). Characterization of multiple diagnostic terms in melanocytic skin lesion pathology reports. Journal of Cutaneous Pathology. 49(2). 153–162. 3 indexed citations

13.

Chang, Oliver, et al.. (2020). A 68-Year-Old Man With Skin Rash and a Pleural Effusion. CHEST Journal. 158(1). e33–e36. 4 indexed citations

14.

Tyring, Ariel J., et al.. (2018). Triamcinolone Acetonide-Assisted Descemetectomy for Retained Descemet Membrane. Case Reports in Ophthalmology. 9(1). 227–231. 2 indexed citations

15.

Bosch, Dustin E., Mark Kilgore, Rodney A. Schmidt, et al.. (2017). Comparison of Proliferation Markers Ki67 and Phosphohistone-H3 (pHH3) in Breast Ductal Carcinoma In Situ. Applied immunohistochemistry & molecular morphology. 25(8). 543–547. 6 indexed citations

16.

Moshiri, Ata S., Ryan Doumani, Lola Yelistratova, et al.. (2016). Polyomavirus-Negative Merkel Cell Carcinoma: A More Aggressive Subtype Based on Analysis of 282 Cases Using Multimodal Tumor Virus Detection. Journal of Investigative Dermatology. 137(4). 819–827. 183 indexed citations

17.

Chang, Oliver, Fan Liu, Eleanor Knopp, et al.. (2016). Centrofacial Balamuthiasis: case report of a rare cutaneous amebic infection. Journal of Cutaneous Pathology. 43(10). 892–897. 8 indexed citations

18.

Chang, Oliver, Eun‐Kyung Choi, Nayeon Kim, et al.. (2014). Association between Socioeconomic Status and Altered Appearance Distress, Body Image, and Quality of Life Among Breast Cancer Patients. Asian Pacific Journal of Cancer Prevention. 15(20). 8607–8612. 60 indexed citations

19.

Chang, Oliver, et al.. (2011). Eccrine porocarcinoma of the lower extremity: A case report and review of literature. World Journal of Surgical Oncology. 9(1). 94–94. 28 indexed citations

20.

Mudge, Suzie, et al.. (2010). Test-Retest Reliability of the StepWatch Activity Monitor Outputs in Healthy Adults. Journal of Physical Activity and Health. 7(5). 671–676. 39 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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