Lang He

1.7k total citations · 1 hit paper
52 papers, 1.1k citations indexed

About

Lang He is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Lang He has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Experimental and Cognitive Psychology, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Social Psychology. Recurrent topics in Lang He's work include Emotion and Mood Recognition (25 papers), Mental Health via Writing (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Lang He is often cited by papers focused on Emotion and Mood Recognition (25 papers), Mental Health via Writing (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Lang He collaborates with scholars based in China, Belgium and Finland. Lang He's co-authors include Dongmei Jiang, Hichem Sahli, Zhongmin Wang, Ercheng Pei, Jonathan Cheung-Wai Chan, Le Yang, Prayag Tiwari, Mingyue Niu, Rui Su and Wei Dang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Lang He

43 papers receiving 1.1k 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.

Deep learning for depression recognition with audiovisual cues: A review

2021 145 citations Lang He, Prayag Tiwari et al. Information Fusion profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lang He China	16	662	333	243	211	210	52	1.1k
Ziping Zhao China	22	683 1.0×	190 0.6×	422 1.7×	150 0.7×	285 1.4×	64	1.2k
Miguel Bordallo López Finland	16	212 0.3×	89 0.3×	78 0.3×	267 1.3×	126 0.6×	70	754
Panagiotis Tzirakis United Kingdom	15	824 1.2×	152 0.5×	479 2.0×	354 1.7×	177 0.8×	29	1.4k
Heysem Kaya Türkiye	20	599 0.9×	155 0.5×	457 1.9×	397 1.9×	109 0.5×	61	1.2k
Patrícia Bota Portugal	8	214 0.3×	70 0.2×	120 0.5×	104 0.5×	187 0.9×	18	658
Vidhyasaharan Sethu Australia	21	561 0.8×	194 0.6×	748 3.1×	136 0.6×	125 0.6×	113	1.4k
Matthew Pediaditis Greece	16	367 0.6×	148 0.4×	174 0.7×	404 1.9×	252 1.2×	36	1.1k
Meshia Cédric Oveneke Belgium	10	279 0.4×	180 0.5×	166 0.7×	78 0.4×	57 0.3×	20	457
Claus Marberger Germany	7	401 0.6×	184 0.6×	103 0.4×	64 0.3×	204 1.0×	13	833
Pablo Barros Germany	18	359 0.5×	161 0.5×	247 1.0×	506 2.4×	138 0.7×	58	1.0k

Countries citing papers authored by Lang He

Since Specialization

Citations

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

Fields of papers citing papers by Lang He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang He

This figure shows the co-authorship network connecting the top 25 collaborators of Lang He. A scholar is included among the top collaborators of Lang He 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 Lang He. Lang He 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:

20 of 20 papers shown

1.

Cao, Xiaoming, et al.. (2025). Deep learning-based depression recognition through facial expression: A systematic review. Neurocomputing. 627. 129605–129605. 3 indexed citations

2.

Wang, Wenlong, Wentao Hao, Lang He, et al.. (2025). Bandgap and adsorption engineering of carbon dots/TiO2 S-scheme heterojunctions for enhanced photocatalytic CO2 methanation. Acta Physico-Chimica Sinica. 41(9). 100116–100116. 1 indexed citations

3.

He, Lang, Weizhao Yang, Junnan Zhao, Haifeng Chen, & Dongmei Jiang. (2025). FedDAAM: Federated Domain Adversarial Learning With Attention Mechanism for Privacy Preserving Multimodal Depression Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 2635–2648.

4.

Xiao, Shun, et al.. (2025). Experimental study on fatigue behavior of rebars embedded in steel-reinforced concrete beams. Journal of Constructional Steel Research. 227. 109352–109352. 1 indexed citations

5.

Pei, Ercheng, et al.. (2025). An Efficient Illumination‐Invariant Dynamic Facial Expression Recognition for Driving Scenarios. IET Intelligent Transport Systems. 19(1).

6.

He, Lang, et al.. (2025). LOGLformer: Integrating local and global characteristics for depression scale estimation from facial expressions. Review of Scientific Instruments. 96(3).

7.

He, Lang, Junnan Zhao, Fengyan Wang, et al.. (2025). LMVD: A large-scale multimodal vlog dataset for depression detection in the wild. Information Fusion. 126. 103632–103632. 2 indexed citations

8.

Chen, Haifeng, et al.. (2025). Modeling speaker-specific long-term context for emotion recognition in conversation. Information Fusion. 127. 103785–103785.

9.

Su, Rui, et al.. (2024). Leveraging part-and-sensitive attention network and transformer for learner engagement detection. Alexandria Engineering Journal. 107. 198–204. 2 indexed citations

10.

He, Lang, et al.. (2024). Depressformer: Leveraging Video Swin Transformer and fine-grained local features for depression scale estimation. Biomedical Signal Processing and Control. 96. 106490–106490. 11 indexed citations

11.

Cao, Jianzhong, et al.. (2024). An efficient multi‐scale transformer for satellite image dehazing. Expert Systems. 41(8). 2 indexed citations

12.

Zhang, Jie, et al.. (2024). A novel WiFi-based milk freshness detection method using image features and tensor construction. Applied Intelligence. 54(22). 11709–11731.

13.

Zhang, Jie, et al.. (2024). Enhanced cell phone security: An ultrasonic and sensor fusion-based persistent cell phone protection method integrating anti-theft & identity authentication. Computers & Security. 148. 104176–104176.

14.

He, Lang, et al.. (2024). Interactive Supervision for New Intent Discovery. IEEE Signal Processing Letters. 31. 1680–1684.

15.

Wang, Zhongmin, et al.. (2023). Leveraging discriminative features for automatic sleep stage classification based on raw single-channel EEG. Biomedical Signal Processing and Control. 88. 105631–105631. 5 indexed citations

16.

Ning, Hailong, et al.. (2022). Audio–visual collaborative representation learning for Dynamic Saliency Prediction. Knowledge-Based Systems. 256. 109675–109675. 11 indexed citations

17.

He, Lang, Chenguang Guo, Prayag Tiwari, et al.. (2021). DepNet: An automated industrial intelligent system using deep learning for video‐based depression analysis. International Journal of Intelligent Systems. 37(7). 3815–3835. 27 indexed citations

18.

He, Lang, et al.. (2021). COVIDNet: An Automatic Architecture for COVID-19 Detection With Deep Learning From Chest X-Ray Images. IEEE Internet of Things Journal. 9(13). 11376–11384. 5 indexed citations

19.

Zhang, Lei, et al.. (2019). Infrared-Inertial Navigation for Commercial Aircraft Precision Landing in Low Visibility and GPS-Denied Environments. Sensors. 19(2). 408–408. 17 indexed citations

20.

Cao, Xianghai, Ping Zhang, & Lang He. (2013). Saliency detection: Some ideas about spectral residual. 34. 1–6. 1 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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