Jun Gao

3.1k total citations
85 papers, 1.2k citations indexed

About

Jun Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jun Gao has authored 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 15 papers in Control and Systems Engineering. Recurrent topics in Jun Gao's work include Topic Modeling (6 papers), Palliative Care and End-of-Life Issues (6 papers) and Wireless Signal Modulation Classification (5 papers). Jun Gao is often cited by papers focused on Topic Modeling (6 papers), Palliative Care and End-of-Life Issues (6 papers) and Wireless Signal Modulation Classification (5 papers). Jun Gao collaborates with scholars based in China, Canada and United States. Jun Gao's co-authors include Xianzhen Xu, Dan Cao, Yu Zhou, Conrad V. Fernandez, Charles Weijer, Yuqiong Liu, Chang Zhou, Xiaofei Liu, Gaoming Huang and Rebecca D. Pentz and has published in prestigious journals such as Journal of Clinical Oncology, PEDIATRICS and Industrial & Engineering Chemistry Research.

In The Last Decade

Jun Gao

79 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Gao China	18	379	224	174	127	117	85	1.2k
Christos N. Schizas Cyprus	19	350 0.9×	56 0.3×	67 0.4×	258 2.0×	160 1.4×	104	1.4k
David Levy Australia	20	295 0.8×	54 0.2×	249 1.4×	66 0.5×	126 1.1×	114	1.5k
Jonathan Shapiro United Kingdom	20	577 1.5×	63 0.3×	88 0.5×	245 1.9×	111 0.9×	68	1.5k
Wajahat Ali Khan South Korea	20	352 0.9×	74 0.3×	33 0.2×	192 1.5×	139 1.2×	82	1.6k
Manfred Huber United States	20	363 1.0×	61 0.3×	292 1.7×	219 1.7×	279 2.4×	110	1.5k
Alireza Bagheri Iran	16	137 0.4×	183 0.8×	19 0.1×	108 0.9×	336 2.9×	112	1.1k
Zhaoxia Wang China	14	306 0.8×	57 0.3×	70 0.4×	76 0.6×	67 0.6×	87	853
Yaqi Wang China	23	272 0.7×	59 0.3×	30 0.2×	205 1.6×	75 0.6×	179	1.8k
Xiao-Min Hu China	18	472 1.2×	30 0.1×	130 0.7×	93 0.7×	170 1.5×	77	1.4k
Zhimin Li China	19	96 0.3×	121 0.5×	698 4.0×	29 0.2×	145 1.2×	53	1.3k

Countries citing papers authored by Jun Gao

Since Specialization

Citations

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

Fields of papers citing papers by Jun Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Gao

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

Gao, Jun, et al.. (2025). Multi-scale quadratic convolutional neural network for bearing fault diagnosis based on multi-sensor data fusion. Nonlinear Dynamics. 113(12). 14223–14244. 3 indexed citations

Lao, Qicheng, et al.. (2025). URFM: A general Ultrasound Representation Foundation Model for advancing ultrasound image diagnosis. iScience. 28(8). 112917–112917. 1 indexed citations

Lao, Qicheng, et al.. (2024). Deblurring masked image modeling for ultrasound image analysis. Medical Image Analysis. 97. 103256–103256. 6 indexed citations

Zhou, Bin, Sipan Li, Bin Zi, Jun Gao, & Weidong Zhu. (2024). Performance analysis and optimization design of a rigid-flexible coupling hoisting robot considering cable deformation and random loading. Mechanical Systems and Signal Processing. 223. 111903–111903. 3 indexed citations

Gao, Jun, et al.. (2024). A novel deep domain adaptation method based on three-way decisions for identifying autistic patients. Biomedical Signal Processing and Control. 100. 106934–106934. 1 indexed citations

Chong, Xun, et al.. (2024). Study on seismic performance of RC frame with UHPC cladding panels and two-level friction damping connections. Journal of Building Engineering. 95. 110118–110118. 3 indexed citations

Gao, Jun, et al.. (2024). An integrated AGV control system using preemptive and non-preemptive mixed RTOS. The Journal of Supercomputing. 80(13). 19536–19561.

Gao, Jun, et al.. (2024). A Knowledge Graph-Based Implicit Requirement Mining Method in Personalized Product Development. Applied Sciences. 14(17). 7550–7550. 3 indexed citations

Wang, Mingxia, Chang Liu, Jun Gao, et al.. (2024). Frailty mediated the association between tooth loss and mortality in the oldest old individuals: a cohort study. Frontiers in Public Health. 11. 1285226–1285226. 6 indexed citations

10.

Gao, Jun, Qicheng Lao, Paul Liu, et al.. (2024). Boosting Your Context by Dual Similarity Checkup for In-Context Learning Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(1). 310–319. 7 indexed citations

11.

Wang, Xin, et al.. (2023). IPNet: Polarization-based Camouflaged Object Detection via dual-flow network. Engineering Applications of Artificial Intelligence. 127. 107303–107303. 10 indexed citations

12.

Zhang, Lin, et al.. (2023). A Diffusion Model for Event Skeleton Generation. 12630–12641. 1 indexed citations

13.

Chen, Yanzhu, et al.. (2022). Combined Metabolome and Transcriptome Analyses Reveal the Flavonoids Changes and Biosynthesis Mechanisms in Different Organs of Hibiseu manihot L.. Frontiers in Plant Science. 13. 817378–817378. 17 indexed citations

14.

Li, Zhimin, et al.. (2022). Endoscopic endonasal resection of an epidermoid cyst in the cavernous sinus: A case report and literature review. Frontiers in Oncology. 12. 972573–972573.

15.

Huang, Gaoming, et al.. (2020). Convolutional neural network applied to specific emitter identification based on pulse waveform images. IET Radar Sonar & Navigation. 14(5). 728–735. 11 indexed citations

16.

Gao, Jun, et al.. (2013). Shortest Path Computing in Relational DBMSs. IEEE Transactions on Knowledge and Data Engineering. 26(4). 997–1011. 22 indexed citations

17.

Fernandez, Conrad V., Jun Gao, Caron Strahlendorf, et al.. (2009). Providing Research Results to Participants: Attitudes and Needs of Adolescents and Parents of Children With Cancer. Journal of Clinical Oncology. 27(6). 878–883. 67 indexed citations

18.

Simpson, Christy, et al.. (2008). Routine bone marrow examination in the initial evaluation of paediatric Hodgkin lymphoma: the Canadian perspective. British Journal of Haematology. 141(6). 820–826. 5 indexed citations

19.

Fernandez, Conrad V., Darcy A. Santor, Charles Weijer, et al.. (2006). The return of research results to participants: Pilot questionnaire of adolescents and parents of children with cancer. Pediatric Blood & Cancer. 48(4). 441–446. 59 indexed citations

20.

Gao, Jun. (2001). STUDY OF ORGANIZATIONAL DESIGN BASED ON VSM. Journal of Tianjin University Science and Technology. 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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