Yi Liang
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- Acupuncture Treatment Research Studies 60
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- Odor and Emission Control Technologies 8
- Analytical Chemistry top 0.5%
- Water Science and Technology top 2%
- Physiology top 2%
- Pain Mechanisms and Treatments 50
- Asthma and respiratory diseases 9
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- Healthcare and Venom Research 24
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- Gestational Diabetes Research and Management 14
- Pregnancy and preeclampsia studies 12
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- Pain Management and Placebo Effect 13
Yi Liang
223 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Complementary and alternative medicine 698
- Process Chemistry and Technology 220
- Analytical Chemistry 702
- Water Science and Technology 542
- Physiology 827
Countries citing papers authored by Yi Liang
This map shows the geographic impact of Yi 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 Yi Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Liang more than expected).
Fields of papers citing papers by Yi Liang
This network shows the impact of papers produced by Yi 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 Yi Liang. The network helps show where Yi Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yi Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 25 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 49 | |
| 15 | 2017 | 1 | |
| 16 | Effects of bifidobacterium-containing enteral nutrition intervention on the nutritional status and intestinal flora disturbance in patients with the severe cerebral infarction | 2017 | 1 |
| 17 | 2016 | 0 | |
| 18 | 2014 | 23 | |
| 19 | Is the efficacy of Chinese herbal medicine on polycystic ovarian syndrome enhanced by acupuncture in rats | 2012 | 1 |
| 20 | The Intermediate Stage Study of Traditional Chinese Medicine Combing Rehabilitation Training in Postoperative ACL Construction under Arthroscopy | 2010 | 0 |
About Yi Liang
Yi Liang is a scholar working on Complementary and alternative medicine, Process Chemistry and Technology, Physiology, Obstetrics and Gynecology and Pharmacology, having authored 253 papers that have together received 5.4k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (60 papers), Pain Mechanisms and Treatments (50 papers), Healthcare and Venom Research (24 papers), Gestational Diabetes Research and Management (14 papers), Pain Management and Placebo Effect (13 papers), Pregnancy and preeclampsia studies (12 papers), Asthma and respiratory diseases (9 papers) and Odor and Emission Control Technologies (8 papers). The work is most often cited by research in Complementary and alternative medicine (698 citations), Process Chemistry and Technology (220 citations), Analytical Chemistry (702 citations), Water Science and Technology (542 citations) and Physiology (827 citations). Yi Liang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Olav M. Kvalheim, Jianqiao Fang, Jilai Gong, Junying Du, Qiuya Niu, Bin Wang, Cheng‐Gang Niu, Chunping Yang, Wenjin Zhou and Guangming Zeng. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, PLoS ONE, Journal of Pain Research, Medicine and Frontiers in Oncology.
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.