Yining Hua

566 total citations · 2 hit papers
15 papers, 289 citations indexed

About

Yining Hua is a scholar working on Social Psychology, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yining Hua has authored 15 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Yining Hua's work include Mental Health via Writing (4 papers), Digital Mental Health Interventions (3 papers) and Caching and Content Delivery (2 papers). Yining Hua is often cited by papers focused on Mental Health via Writing (4 papers), Digital Mental Health Interventions (3 papers) and Caching and Content Delivery (2 papers). Yining Hua collaborates with scholars based in United Kingdom, China and Australia. Yining Hua's co-authors include Dewei Yi, Hui Fang, Weijun Lin, Haining Yin, Victoria Wang, Jingjie Wang, Konstantinos G. Kyriakopoulos, Lin Guan, Michele Sevegnani and Andrew Birnie and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Future Generation Computer Systems.

In The Last Decade

Yining Hua

14 papers receiving 276 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality

2025 22 citations John Torous, Jake Linardon et al. World Psychiatry profile →
A scoping review of large language models for generative tasks in mental health care

2025 13 citations Yining Hua, Fenglin Liu et al. npj Digital Medicine profile →

Peers

Yining Hua

IS

CNC

FS

AI

EEE

Sina Rafati Niya Switzerland

Christoph Stach Germany

Udit Agarwal India

Huijun Wu China

Chandrasekar Vuppalapati United States

Sandi Rahmadika South Korea

Nibras Abdullah Malaysia

Aisha Zahid Junejo Malaysia

Samta Kathuria India

Chintan Bhatt India

Sina Rafati Niya Switzerland

Yining Hua

206 ×1.7

IS

104 ×1.6

CNC

23 ×0.4

FS

33 ×1.1

AI

24 ×0.9

EEE

Citations per year, relative to Yining Hua Yining Hua (= 1×) peers Sina Rafati Niya

Countries citing papers authored by Yining Hua

Since Specialization

Citations

This map shows the geographic impact of Yining Hua'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 Yining Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Hua more than expected).

Fields of papers citing papers by Yining Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yining Hua. 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 Yining Hua. The network helps show where Yining Hua may publish in the future.

Co-authorship network of co-authors of Yining Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Yining Hua. A scholar is included among the top collaborators of Yining Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yining Hua. Yining Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Torous, John, Jake Linardon, Simon B. Goldberg, et al.. (2025). The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality. World Psychiatry. 24(2). 156–174. 22 indexed citations breakdown →

2.

Hua, Yining, Zhen Wang, Tao Shen, et al.. (2025). A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions. 7362–7376. 3 indexed citations

3.

Hua, Yining, et al.. (2025). A scoping review of large language models for generative tasks in mental health care. npj Digital Medicine. 8(1). 230–230. 13 indexed citations breakdown →

4.

Hua, Yining, et al.. (2025). Charting the evolution of artificial intelligence mental health chatbots from rule‐based systems to large language models: a systematic review. World Psychiatry. 24(3). 383–394. 6 indexed citations

5.

Zhang, Lujun, et al.. (2024). Part-Whole Relational Few-Shot 3D Point Cloud Semantic Segmentation. Computers, materials & continua/Computers, materials & continua (Print). 78(3). 3021–3039. 2 indexed citations

6.

Hua, Yining, et al.. (2024). Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks. arXiv (Cornell University). 1 indexed citations

7.

Yi, Dewei, et al.. (2023). Compound Scaling Encoder-Decoder (CoSED) Network for Diabetic Retinopathy Related Bio-Marker Detection. IEEE Journal of Biomedical and Health Informatics. 28(4). 1959–1970. 7 indexed citations

8.

Hua, Yining, Jie Sui, Hui Fang, Chuan Hu, & Dewei Yi. (2023). Domain‐adapted driving scene understanding with uncertainty‐aware and diversified generative adversarial networks. CAAI Transactions on Intelligence Technology.

9.

Yi, Dewei, Yining Hua, Peter Murchie, & Pradip Kumar Sharma. (2023). Label-Free Medical Image Quality Evaluation by Semantics-Aware Contrastive Learning in IoMT. IEEE Journal of Biomedical and Health Informatics. 29(4). 2335–2344. 4 indexed citations

10.

Hua, Yining, et al.. (2022). Fine-Grained RNN With Transfer Learning for Energy Consumption Estimation on EVs. IEEE Transactions on Industrial Informatics. 18(11). 8182–8190. 23 indexed citations

11.

Yi, Dewei, Hui Fang, Yining Hua, et al.. (2021). Improving Synthetic to Realistic Semantic Segmentation With Parallel Generative Ensembles for Autonomous Urban Driving. IEEE Transactions on Cognitive and Developmental Systems. 14(4). 1496–1506. 6 indexed citations

12.

Hua, Yining & Dewei Yi. (2021). Synthetic to Realistic Imbalanced Domain Adaption for Urban Scene Perception. IEEE Transactions on Industrial Informatics. 18(5). 3248–3255. 10 indexed citations

13.

Hua, Yining, Lin Guan, & Konstantinos G. Kyriakopoulos. (2020). A Fog caching scheme enabled by ICN for IoT environments. Future Generation Computer Systems. 111. 82–95. 34 indexed citations

14.

Lin, Weijun, Hui Fang, Victoria Wang, et al.. (2020). Blockchain Technology in Current Agricultural Systems: From Techniques to Applications. IEEE Access. 8. 143920–143937. 153 indexed citations

15.

Hua, Yining, Lin Guan, & Konstantinos G. Kyriakopoulos. (2018). Semi-Edge. Loughborough University Institutional Repository (Loughborough University). 43–48. 5 indexed citations

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.

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