Sensetime (China)
Papers in the tracked journals with an author at Sensetime (China): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.
Key findings#
- From 2017 to 2026 (so far), authors at Sensetime (China) took part in 119 papers in the tracked journals, most of them in AI (118) and operations research (1).
- It ranks #14 among the companies publishing in the tracked journals from 2023 to 2025.
- 20 of them were published in 2025, against 3 in 2017.
- Since 2023, the institutions with the most of these papers were Shanghai Artificial Intelligence Laboratory (24), Chinese University of Hong Kong (15) and Nanyang Technological University (14).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (34), International Journal of Computer Vision (13) and Pattern Recognition (10).
- The most-cited of them is “From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020), with 922 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 3 | 2 | 5 | 9 | 15 | 15 | 21 | 20 | 20 | 8 |
| Operations Research | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| All categories | 3 | 2 | 5 | 9 | 15 | 16 | 21 | 20 | 20 | 8 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 34 |
| 2 | International Journal of Computer Vision | 13 |
| 3 | Pattern Recognition | 10 |
| 4 | Neural Networks | 6 |
| 5 | Information Fusion | 3 |
| 6 | IEEE Transactions on Knowledge and Data Engineering | 1 |
| 7 | Cognitive Computation | 1 |
| 8 | IEEE Transactions on Neural Networks and Learning Systems | 1 |
| # | Institution | Papers |
|---|---|---|
| 1 | Shanghai Artificial Intelligence Laboratory | 24 |
| 2 | Chinese University of Hong Kong | 15 |
| 3 | Nanyang Technological University | 14 |
| 4 | Beihang University | 10 |
| 5 | Chinese Academy of Sciences | 9 |
| 6 | The University of Sydney | 9 |
| 7 | University of Hong Kong | 8 |
| 8 | Tsinghua University | 7 |
| 9 | Zhejiang University | 7 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 69 |
| 2 | Hong Kong | 23 |
| 3 | Singapore | 15 |
| 4 | Australia | 12 |
| 5 | United States | 5 |
| 6 | Switzerland | 2 |
| 7 | Germany | 2 |
| 8 | United Kingdom | 2 |
| 9 | Japan | 1 |
| # | Keyword | Papers |
|---|---|---|
| 1 | object detection | 11 |
| 2 | semantic segmentation | 9 |
| 3 | image classification | 8 |
| 4 | vision transformer | 8 |
| 5 | class imbalance | 4 |
| 6 | data augmentation | 4 |
| 7 | diffusion models | 4 |
| 8 | vision-language models | 4 |
| 9 | active learning (machine learning) | 3 |
| 10 | autonomous driving | 3 |
Most-cited papers#
Cite this page
Scholar4AI. (2026). Sensetime (China). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/sensetime-china
@misc{scholar4ai-companies-sensetime-china,
author = {{Scholar4AI}},
title = {Sensetime (China)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/companies/sensetime-china}},
urldate = {2026-10-31},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}