Teng Guo

722 total citations
37 papers, 358 citations indexed

About

Teng Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Teng Guo has authored 37 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 11 papers in Computer Science Applications. Recurrent topics in Teng Guo's work include Online Learning and Analytics (11 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). Teng Guo is often cited by papers focused on Online Learning and Analytics (11 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). Teng Guo collaborates with scholars based in China, Australia and United States. Teng Guo's co-authors include Chuan-Kun Wu, Feng Liu, Feng Xia, Xiaomei Bai, Yun Wei, A. Rashid A. Aziz, Qing Tian, Fuli Zhang, Jinzhou Li and Sally Firmin and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

Teng Guo

33 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Teng Guo China	10	200	101	48	36	19	37	358
Xinguo Yu China	11	87 0.4×	166 1.6×	32 0.7×	42 1.2×	25 1.3×	66	307
Anil Audumbar Pise South Africa	8	59 0.3×	53 0.5×	31 0.6×	44 1.2×	19 1.0×	14	233
Bùi Ngọc Anh Vietnam	11	68 0.3×	62 0.6×	47 1.0×	71 2.0×	7 0.4×	34	286
Malik Tahir Hassan Pakistan	10	113 0.6×	120 1.2×	14 0.3×	48 1.3×	8 0.4×	26	262
Muhammed J. A. Patwary Bangladesh	13	65 0.3×	158 1.6×	10 0.2×	37 1.0×	20 1.1×	43	359
Adrian Rusu United States	10	136 0.7×	36 0.4×	38 0.8×	60 1.7×	6 0.3×	34	242
M. Safa India	9	67 0.3×	102 1.0×	14 0.3×	102 2.8×	7 0.4×	25	274
Kasthuri Jayarajah Singapore	11	74 0.4×	72 0.7×	49 1.0×	28 0.8×	13 0.7×	33	333
Diego Gachet Páez Spain	10	56 0.3×	69 0.7×	15 0.3×	37 1.0×	8 0.4×	39	251
Stewart Massie United Kingdom	11	84 0.4×	261 2.6×	11 0.2×	72 2.0×	35 1.8×	28	413

Countries citing papers authored by Teng Guo

Since Specialization

Citations

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

Fields of papers citing papers by Teng Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Teng Guo. A scholar is included among the top collaborators of Teng Guo 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 Teng Guo. Teng Guo 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

Guo, Teng, et al.. (2025). Improving Knowledge Tracing through Multi-Source Scaling with Decoder-Only Transformers. ACM Transactions on Intelligent Systems and Technology. 17(3). 1–25.

Liu, Zitao, et al.. (2025). Prerequisite Relation Learning: A Survey and Outlook. ACM Computing Surveys. 1 indexed citations

Guo, Teng, et al.. (2025). Enhancing Knowledge Tracing through Decoupling Cognitive Pattern from Error-Prone Data. 5108–5116. 1 indexed citations

Liu, Zitao, et al.. (2025). Deep Learning Based Knowledge Tracing: A Review, a Tool and Empirical Studies. IEEE Transactions on Knowledge and Data Engineering. 37(8). 4512–4536. 2 indexed citations

Liu, Zitao, et al.. (2025). A prompt-driven framework for multi-domain knowledge tracing. Machine Learning. 114(4).

Deng, Jiwei, et al.. (2025). Denoised Attention and Question-Augmented Representations for Knowledge Tracing. 9619–9627. 1 indexed citations

Liu, Zitao, et al.. (2024). csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention. Expert Systems with Applications. 266. 125988–125988. 4 indexed citations

Guo, Teng & Feng Xia. (2023). Student Behavior Pattern Mining and Analysis: Towards Smart Campuses. 1305–1306. 1 indexed citations

Guo, Teng, Wenhong Zhao, Mubarak Alrashoud, et al.. (2022). Multimodal Educational Data Fusion for Students’ Mental Health Detection. IEEE Access. 10. 70370–70382. 24 indexed citations

10.

Guo, Teng, et al.. (2022). Educational Anomaly Analytics: Features, Methods, and Challenges. Frontiers in Big Data. 4. 811840–811840. 10 indexed citations

11.

Xia, Feng, Teng Guo, Xiaomei Bai, et al.. (2021). SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. 2(4). 1–24. 2 indexed citations

12.

Bai, Xiaomei, Fuli Zhang, Jinzhou Li, et al.. (2021). Educational Big Data: Predictions, Applications and Challenges. Big Data Research. 26. 100270–100270. 49 indexed citations

13.

Zhang, Dongyu, et al.. (2021). Predicting Mental Health Problems with Personality, Behavior, and Social Networks. 2021 IEEE International Conference on Big Data (Big Data). 4537–4546. 2 indexed citations

14.

Guo, Teng, et al.. (2021). Surf or sleep?. ACM SIGKDD Explorations Newsletter. 23(2). 3–12. 2 indexed citations

15.

Bai, Xiaomei, et al.. (2020). Quantifying Success in Science: An Overview. IEEE Access. 8. 123200–123214. 15 indexed citations

16.

Liu, Jiaying, et al.. (2017). Predicting the Future Impact of Scholars through Time-aware Academic Networks.. ISSI. 1672–1673. 1 indexed citations

17.

Guo, Teng, Feng Liu, & Chuan-Kun Wu. (2013). Threshold visual secret sharing by random grids with improved contrast. Journal of Systems and Software. 86(8). 2094–2109. 67 indexed citations

18.

Guo, Teng, Feng Liu, & Chuan-Kun Wu. (2013). k out of k extended visual cryptography scheme by random grids. Signal Processing. 94. 90–101. 39 indexed citations

19.

Guo, Teng, et al.. (2013). On the Randomness of Visual Cryptography Scheme. 950. 391–394. 1 indexed citations

20.

Huang, Bo, et al.. (2009). Study on mechanism of photochromism and anti-oxidative activities of Chrysanthemum tea brewed with tap water.. Xiandai shipin keji. 25(9). 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.

Explore authors with similar magnitude of impact