Bochen Guan

444 total citations
11 papers, 283 citations indexed

About

Bochen Guan is a scholar working on Surgery, Computer Vision and Pattern Recognition and Rheumatology. According to data from OpenAlex, Bochen Guan has authored 11 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Rheumatology. Recurrent topics in Bochen Guan's work include Osteoarthritis Treatment and Mechanisms (3 papers), Total Knee Arthroplasty Outcomes (3 papers) and Image Retrieval and Classification Techniques (2 papers). Bochen Guan is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (3 papers), Total Knee Arthroplasty Outcomes (3 papers) and Image Retrieval and Classification Techniques (2 papers). Bochen Guan collaborates with scholars based in United States, China and Singapore. Bochen Guan's co-authors include Richard Kijowski, Ali Guermazi, Fang Liu, Alexey Samsonov, Shadpour Demehri, Zhaoye Zhou, Kevin Lian, Ruchi Sharma, John Kim and Humberto G. Rosas and has published in prestigious journals such as Osteoarthritis and Cartilage, Physical review. B. and Skeletal Radiology.

In The Last Decade

Bochen Guan

11 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bochen Guan United States	7	109	104	87	74	43	11	283
Rutwik Shah United States	9	127 1.2×	116 1.1×	109 1.3×	88 1.2×	37 0.9×	19	286
Moritz Ehlke Germany	4	91 0.8×	105 1.0×	130 1.5×	78 1.1×	11 0.3×	7	305
Yanping Xue China	8	60 0.6×	59 0.6×	87 1.0×	118 1.6×	40 0.9×	15	298
Hyeon Ki Jeong United States	10	68 0.6×	59 0.6×	152 1.7×	38 0.5×	9 0.2×	21	331
Rongguo Zhang China	5	61 0.6×	42 0.4×	83 1.0×	193 2.6×	52 1.2×	8	328
Maria Chiara Fiorentino Italy	10	60 0.6×	37 0.4×	45 0.5×	88 1.2×	30 0.7×	23	288
Kaifeng Gan China	8	163 1.5×	12 0.1×	65 0.7×	72 1.0×	86 2.0×	32	314
Maria Antico Australia	9	87 0.8×	26 0.3×	98 1.1×	102 1.4×	21 0.5×	25	262
Chau Hung Lee Singapore	13	115 1.1×	53 0.5×	41 0.5×	160 2.2×	12 0.3×	39	513
Amir Jamaludin United Kingdom	7	134 1.2×	14 0.1×	282 3.2×	69 0.9×	56 1.3×	12	353

Countries citing papers authored by Bochen Guan

Since Specialization

Citations

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

Fields of papers citing papers by Bochen Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bochen Guan

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

11 of 11 papers shown

1.

Guan, Bochen, et al.. (2024). PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation. 1–6. 9 indexed citations

2.

Mu, Fangzhou, et al.. (2024). FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition. 7465–7475. 10 indexed citations

3.

Guan, Bochen, Fang Liu, Shadpour Demehri, et al.. (2021). Deep learning approach to predict pain progression in knee osteoarthritis. Skeletal Radiology. 51(2). 363–373. 60 indexed citations

4.

Guan, Bochen, Jinnian Zhang, William A. Sethares, Richard Kijowski, & Fang Liu. (2021). Spectral Domain Convolutional Neural Network. 2795–2799. 6 indexed citations

5.

Guan, Bochen, et al.. (2020). Video Logo Retrieval Based on Local Features. 1396–1400. 3 indexed citations

6.

Guan, Bochen, Fang Liu, Arya Haj‐Mirzaian, et al.. (2020). Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period. Osteoarthritis and Cartilage. 28(4). 428–437. 46 indexed citations

7.

Guan, Bochen, et al.. (2020). Deep learning approach to predict pain progression in knee osteoarthritis. Osteoarthritis and Cartilage. 28. S316–S316. 16 indexed citations

8.

Liu, Fang, Bochen Guan, Zhaoye Zhou, et al.. (2019). Fully Automated Diagnosis of Anterior Cruciate Ligament Tears on Knee MR Images by Using Deep Learning. Radiology Artificial Intelligence. 1(3). 180091–180091. 112 indexed citations

9.

Guan, Bochen, et al.. (2019). Deep learning approach to predict radiographic knee osteoarthritis progression. Osteoarthritis and Cartilage. 27. S395–S396. 5 indexed citations

10.

Zhang, Xiao, et al.. (2019). Entangled four-dimensional multicomponent topological states from photonic crystal defects. Physical review. B.. 100(4). 10 indexed citations

11.

Guan, Bochen & Jing Li. (2016). A compact model for RRAM including random telegraph noise. 12. MY–5. 6 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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