Ting Liang
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
Papers in
-
- Advanced MEMS and NEMS Technologies 18
- Photonic and Optical Devices 17
- Advanced Fiber Optic Sensors 16
- Gas Sensing Nanomaterials and Sensors 10
- 3D IC and TSV technologies 7
- Co-authors
- Jijun Xiong (46 shared papers)Yingping Hong (25 shared papers)Pinggang Jia (22 shared papers)Yulong Ding (8 shared papers)Yongliang Li (7 shared papers)Cheng Lei (21 shared papers)Wenyi Liu (12 shared papers)Andrea Vecchi (2 shared papers)
- Journals
- Sensors (7 papers)Applied Optics (5 papers)Photonic Sensors (4 papers)Applied Surface Science (4 papers)New Journal of Chemistry (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ting Liang
134 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 130
- Energy Engineering and Power Technology 67
- Bioengineering 115
- Electrical and Electronic Engineering 1.0k
- Electronic, Optical and Magnetic Materials 256
- Biomedical Engineering 520
Countries citing papers authored by Ting Liang
This map shows the geographic impact of Ting 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 Ting Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Liang more than expected).
Fields of papers citing papers by Ting Liang
This network shows the impact of papers produced by Ting 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 Ting Liang. The network helps show where Ting Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 129 | |
| 2 | 2022 | 124 | |
| 3 | 2016 | 116 | |
| 4 | 2021 | 79 | |
| 5 | 2016 | 73 | |
| 6 | 2013 | 72 | |
| 7 | 2016 | 57 | |
| 8 | 2017 | 56 | |
| 9 | 2019 | 50 | |
| 10 | 2017 | 44 | |
| 11 | 2018 | 40 | |
| 12 | 2018 | 39 | |
| 13 | 2016 | 38 | |
| 14 | 2018 | 38 | |
| 15 | 2022 | 34 | |
| 16 | 2018 | 34 | |
| 17 | 2022 | 33 | |
| 18 | 2010 | 32 | |
| 19 | 2018 | 30 | |
| 20 | 2015 | 28 |
About Ting Liang
Ting Liang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics, having authored 136 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (18 papers), Photonic and Optical Devices (17 papers), Advanced Fiber Optic Sensors (16 papers), Gas Sensing Nanomaterials and Sensors (10 papers), Acoustic Wave Resonator Technologies (8 papers), Analytical Chemistry and Sensors (8 papers), 3D IC and TSV technologies (7 papers) and Photonic Crystals and Applications (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (67 citations), Bioengineering (115 citations), Electrical and Electronic Engineering (1.0k citations), Electronic, Optical and Magnetic Materials (256 citations) and Biomedical Engineering (520 citations). Ting Liang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jijun Xiong, Yingping Hong, Pinggang Jia, Yulong Ding, Yongliang Li, Cheng Lei, Wenyi Liu, Andrea Vecchi, Adriano Sciacovelli and Kai Knobloch. Their work appears in journals such as Sensors, Applied Optics, Photonic Sensors, Applied Surface Science and New Journal of Chemistry.
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.