Tianlin Zhang
- Applied Psychology top 5%
- Health Informatics top 5%
- Social Psychology top 5%
- Mental Health via Writing 10
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining 12
- Topic Modeling 5
- Advanced Text Analysis Techniques 4
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- Organic Electronics and Photovoltaics 5
- Organic Light-Emitting Diodes Research 5
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- Misinformation and Its Impacts 4
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- Advanced Neural Network Applications 4
- Co-authors
- Sophia AnaniadouShaoxiong JiKailai YangAnnika Marie SchoeneJiaxu LengYing LiuPei QuanZhiwei Tong
- Journals
- Chemical Communications (1 paper)ACS Applied Materials & Interfaces (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Tianlin Zhang
61 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Applied Psychology 170
- Health Informatics 35
- Social Psychology 308
- Artificial Intelligence 383
- Experimental and Cognitive Psychology 151
Countries citing papers authored by Tianlin Zhang
This map shows the geographic impact of Tianlin Zhang'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 Tianlin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianlin Zhang more than expected).
Fields of papers citing papers by Tianlin Zhang
This network shows the impact of papers produced by Tianlin Zhang. 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 Tianlin Zhang. The network helps show where Tianlin Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tianlin Zhang, 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 | 2024 | 3 | |
| 3 | 2024 | 30 | |
| 4 | MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Modelsbreakdown → | 2024 | 48 |
| 5 | 2023 | 15 | |
| 6 | 2023 | 59 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 16 | |
| 12 | Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. | 2021 | 4 |
| 13 | 2021 | 32 | |
| 14 | 2020 | 1 | |
| 15 | 2018 | 2 | |
| 16 | 2017 | 63 | |
| 17 | 2017 | 33 | |
| 18 | Preparation of 5-Chloromethylsalicylaldehyde | 2012 | 2 |
| 19 | 2009 | 1 | |
| 20 | 1988 | 5 |
About Tianlin Zhang
Tianlin Zhang is a scholar working on Artificial Intelligence, Applied Psychology and Water Science and Technology, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (12 papers), Mental Health via Writing (10 papers), Topic Modeling (5 papers), Organic Electronics and Photovoltaics (5 papers), Organic Light-Emitting Diodes Research (5 papers), Misinformation and Its Impacts (4 papers), Advanced Text Analysis Techniques (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Applied Psychology (170 citations), Health Informatics (35 citations) and Social Psychology (308 citations). Tianlin Zhang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Sophia Ananiadou, Shaoxiong Ji, Kailai Yang, Annika Marie Schoene, Jiaxu Leng, Ying Liu, Pei Quan, Zhiwei Tong, Qianqian Xie and Xinxin Ban. Their work appears in journals such as Chemical Communications, ACS Applied Materials & Interfaces and IEEE Transactions on Geoscience and Remote Sensing.
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.