NetEase (China)
Papers in the tracked journals with an author at NetEase (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 NetEase (China) took part in 32 papers in the tracked journals, most of them in AI (28), management (2) and higher education and research (1).
- 2 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Nanjing University (3), Sun Yat-sen University (3) and Hangzhou Dianzi University (2).
- The journals publishing most of them were Neural Networks (3), IEEE Transactions on Knowledge and Data Engineering (3) and Expert Systems with Applications (2).
- The most-cited of them is “Subgraph Networks With Application to Structural Feature Space Expansion” (IEEE Transactions on Knowledge and Data Engineering, 2019), with 70 citations.
- Since 2023, papers in the tracked journals cited 25 of its papers 91 times; 100% of those links came from papers with a university author and 1% from its own papers.
- Its own papers since 2023 cite archived papers 72 times, 15% of them papers with a company author.
- Across everything OpenAlex indexes, NetEase (China) has 650 works with 27,200 citations (h-index 75).
- The tracked journals hold 30 of its 566 works in OpenAlex from 2017 to 2025 (5.3%).
- Its main research topics in OpenAlex are Topic Modeling (96), Recommender Systems and Techniques (84) and Generative Adversarial Networks and Image Synthesis (73).
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 0 | 1 | 1 | 5 | 2 | 4 | 3 | 9 | 1 | 2 |
| Management | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| Higher Education and Research | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| Operations Research | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| All categories | 0 | 1 | 1 | 5 | 2 | 6 | 4 | 9 | 2 | 2 |
Where the papers come from#
| # | Institution | Papers |
|---|---|---|
| 1 | Nanjing University | 3 |
| 2 | Sun Yat-sen University | 3 |
| 3 | Hangzhou Dianzi University | 2 |
| 4 | Nanjing University of Posts and Telecommunications | 2 |
| 5 | Tianjin University | 2 |
| 6 | University of Illinois Chicago | 2 |
| 7 | Zhejiang University | 2 |
| 8 | Zhejiang University of Finance and Economics | 2 |
| 9 | Alberta Machine Intelligence Institute | 1 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 17 |
| 2 | United States | 4 |
| 3 | Australia | 1 |
| 4 | Canada | 1 |
| 5 | Singapore | 1 |
| # | Keyword | Papers |
|---|---|---|
| 1 | cooperative multi-agent tasks | 2 |
| 2 | knowledge economy | 2 |
| 3 | multi-agent reinforcement learning | 2 |
| 4 | 3D morphable model | 1 |
| 5 | Chinese listed companies | 1 |
| 6 | EfficientNetV2 | 1 |
| 7 | MOBA games | 1 |
| 8 | Shapley value | 1 |
| 9 | StarCraft II micromanagement | 1 |
| 10 | action semantics | 1 |
Most-cited papers#
Who cites its research#
| # | Institution | Kind | Country | Links |
|---|---|---|---|---|
| 1 | Zhejiang University | University | China | 13 |
| 2 | Sun Yat-sen University | University | China | 7 |
| 3 | Tsinghua University | University | China | 7 |
| 4 | Hefei University of Technology | University | China | 5 |
| 5 | Chinese Academy of Sciences | Government | China | 5 |
| 6 | Fuzhou University | University | China | 5 |
| 7 | Xidian University | University | China | 4 |
| 8 | Emory University | University | United States | 4 |
| 9 | National University of Defense Technology | University | China | 4 |
| 10 | Beijing Institute of Technology | University | China | 3 |
What its papers cite#
| # | Institution | Kind | Country | Links |
|---|---|---|---|---|
| 1 | Tianjin University | University | China | 7 |
| 2 | Chinese Academy of Sciences | Government | China | 7 |
| 3 | University of Science and Technology of China | University | China | 5 |
| 4 | Shanghai Jiao Tong University | University | China | 5 |
| 5 | Zhejiang University | University | China | 5 |
| 6 | Nanyang Technological University | University | Singapore | 4 |
| 7 | University of Chinese Academy of Sciences | University | China | 4 |
| 8 | Monash University | University | Australia | 4 |
| 9 | Sun Yat-sen University | University | China | 3 |
| 10 | Wuhan University | University | China | 3 |
In OpenAlex#
| Item | Value |
|---|---|
| Type | Company |
| Location | Beijing, China |
| Also known as | 网易 |
| Works in OpenAlex | 650 |
| Citations | 27,200 |
| h-index | 75 |
| i10-index | 619 |
| 2-year mean citedness | 4.02 |
| Website | www.163.com |
| ROR | ror.org/00fp6fj05 |
| OpenAlex | openalex.org/I4210091137 |
| # | Topic | Field | Works |
|---|---|---|---|
| 1 | Topic Modeling | Computer Science | 96 |
| 2 | Recommender Systems and Techniques | Computer Science | 84 |
| 3 | Generative Adversarial Networks and Image Synthesis | Computer Science | 73 |
| 4 | Natural Language Processing Techniques | Computer Science | 61 |
| 5 | 3D Shape Modeling and Analysis | Engineering | 60 |
| Year | Works in OpenAlex | Citations received | In the tracked journals | Share |
|---|---|---|---|---|
| 2026 (so far) | 52 | 1,443 | 2 | 3.8% |
| 2025 | 64 | 2,501 | 2 | 3.1% |
| 2024 | 96 | 2,360 | 9 | 9.4% |
| 2023 | 105 | 1,762 | 4 | 3.8% |
| 2022 | 105 | 1,032 | 6 | 5.7% |
| 2021 | 84 | 647 | 2 | 2.4% |
| 2020 | 58 | 329 | 5 | 8.6% |
| 2019 | 28 | 191 | 1 | 3.6% |
| 2018 | 16 | 149 | 1 | 6.2% |
| 2017 | 10 | 94 | 0 | 0.0% |
Cite this page
Scholar4AI. (2026). NetEase (China). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/netease-china
@misc{scholar4ai-companies-netease-china,
author = {{Scholar4AI}},
title = {NetEase (China)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/companies/netease-china}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}