Bojian Liang

726 citations
31 papers · 558 indexed · h-index 14
Topics
Advanced Vision and Imaging (7 papers)Orthopaedic implants and arthroplasty (6 papers)Robotics and Sensor-Based Localization (5 papers)
Partner nations
United KingdomChinaJapan

In The Last Decade

Bojian Liang

31 papers receiving 532 citations

Peers

Bojian Liang
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 114
  • Molecular Biology 112
  • Biomedical Engineering 103
  • Aerospace Engineering 97
  • Surgery 94
Replace Kazuto Hoshi with:
Kazuto Hoshi Japan
Ramin Oftadeh United States
Chengze Wang China
Jiaxin Li China
Yifan Chen China
Weidong Wu China
Xiaohong Wang China
Yujin Tang China
Xinchen Xu China
Bojian Liang relative to Kazuto Hoshi Japan Kazuto Hoshi's profile →
Citations per field
00.5×1.5×
Kazuto Hoshi · 1×
Citations per year

Countries citing papers authored by Bojian Liang

Since Specialization
Citations

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

Fields of papers citing papers by Bojian Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bojian Liang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 7
4 8
5
Targeted and sustained Sox9 expression in mouse hypertrophic chondrocytes causes severe and spontaneous osteoarthritis by perturbing cartilage homeostasis.
16
6 39
7 13
8 12
9 8
10 15
11 30
12 3
13 3
14 8
15 3
16 13
17 15
18 58
19 41
20 5

About Bojian Liang

Bojian Liang is a scholar working on Orthodontics, Computer Vision and Pattern Recognition and Pharmacology, having authored 31 papers that have together received 558 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Orthopaedic implants and arthroplasty (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Rheumatology (66 citations) and Orthodontics (19 citations). Bojian Liang has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include Nick Pears, Takashi Nakamura, Chao Xie, Edward M. Schwarz, Regis J. O’Keefe, Xinping Zhang, Ming Xue, Zuobin Wang, Angela Lin and Zezhi Chen. Their work appears in journals such as Biomaterials, Journal of Cell Science and American Journal Of Pathology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026