Tianxiang Sun

2.7k total citations · 1 hit paper
36 papers, 1.6k citations indexed

About

Tianxiang Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Tianxiang Sun has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Tianxiang Sun's work include Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (4 papers). Tianxiang Sun is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (4 papers). Tianxiang Sun collaborates with scholars based in China and United States. Tianxiang Sun's co-authors include Xipeng Qiu, Xuanjing Huang, Yunfan Shao, Yige Xu, Ning Dai, Hang Yan, Pengfei Liu, Junqi Dai, Pengfei Liu and Zheng Zhang and has published in prestigious journals such as Journal of Materials Chemistry A, Optics Express and Energy storage materials.

In The Last Decade

Tianxiang Sun

33 papers receiving 1.5k citations

Hit Papers

Pre-trained models for na... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianxiang Sun China 13 1.1k 284 212 93 78 36 1.6k
Yuexin Wu China 14 797 0.7× 262 0.9× 225 1.1× 92 1.0× 44 0.6× 59 1.2k
Yige Xu China 8 805 0.7× 183 0.6× 174 0.8× 38 0.4× 80 1.0× 12 1.2k
Mostafa Dehghani Netherlands 17 797 0.7× 444 1.6× 285 1.3× 56 0.6× 107 1.4× 47 1.3k
Jun Tian China 13 1.1k 1.0× 358 1.3× 212 1.0× 147 1.6× 99 1.3× 75 2.0k
Yunfan Shao China 6 948 0.8× 247 0.9× 198 0.9× 36 0.4× 77 1.0× 10 1.3k
Norisma Idris Malaysia 22 1.6k 1.4× 194 0.7× 287 1.4× 92 1.0× 28 0.4× 77 2.1k
Ruofei Zhang United States 21 713 0.6× 527 1.9× 271 1.3× 95 1.0× 74 0.9× 62 1.3k
Sabrina Tiun Malaysia 20 721 0.6× 173 0.6× 187 0.9× 67 0.7× 157 2.0× 85 1.1k
Seong-Bae Park South Korea 16 501 0.4× 130 0.5× 200 0.9× 85 0.9× 67 0.9× 133 1.0k

Countries citing papers authored by Tianxiang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Tianxiang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianxiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Tianxiang Sun. A scholar is included among the top collaborators of Tianxiang Sun 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 Tianxiang Sun. Tianxiang Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Xinkun, Xin Chen, Tianxiang Sun, et al.. (2025). Metal-ion mediated mesopore engineering in hierarchical porous carbons for enhanced high-rate volumetric capacitance. Journal of Materials Chemistry A. 14(1). 476–486.
2.
Zhang, Yuwei, Tianxiang Sun, Haibo Shi, et al.. (2024). A cross-sectional mental-health survey of Chinese postgraduate students majoring in stomatology post COVID-19 restrictions. Frontiers in Public Health. 12. 1376540–1376540. 3 indexed citations
3.
Li, Shimin, Tianxiang Sun, Jinlan Fu, et al.. (2024). LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. 6632–6646. 3 indexed citations
4.
Li, Xiaonan, et al.. (2024). LLatrieval: LLM-Verified Retrieval for Verifiable Generation. 5453–5471. 4 indexed citations
5.
Huang, Kexin, Xiangyang Liu, Tianxiang Sun, et al.. (2024). Flames: Benchmarking Value Alignment of LLMs in Chinese. 4551–4591. 3 indexed citations
6.
Dai, Junqi, Jiasheng Ye, Yunhua Zhou, et al.. (2024). AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. 9637–9662. 13 indexed citations
7.
Yu, Yongbin, Jia Li, Yanxia Zhang, et al.. (2024). Numerical simulation of leakage, dispersion and explosion behavior of LPG in kitchen. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 3996–4011. 2 indexed citations
8.
Sun, Tianxiang, et al.. (2023). Competition for gradient-free tuning of large language models: approaches, results, current challenges and future directions. National Science Review. 10(6). nwad124–nwad124.
9.
Li, Peng, Tianxiang Sun, Qiong Tang, et al.. (2023). CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. 15339–15353. 21 indexed citations
10.
Sun, Tianxiang, et al.. (2023). DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. 4521–4534. 33 indexed citations
11.
Sun, Tianxiang, et al.. (2023). Effect of Waste Clay Bricks on the Performance of Cemented Tailings Backfill and Its Damage Constitutive Model. Minerals. 13(7). 987–987. 2 indexed citations
12.
Sun, Tianxiang, et al.. (2022). BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. 3726–3739. 14 indexed citations
13.
Sun, Tianxiang, Xiangyang Liu, Wei Zhu, et al.. (2022). A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. Findings of the Association for Computational Linguistics: ACL 2022. 2409–2421. 12 indexed citations
14.
Liu, Xiangyang, Tianxiang Sun, Jiawen Wu, et al.. (2022). Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3288–3303. 8 indexed citations
15.
Sun, Tianxiang, et al.. (2022). Paradigm Shift in Natural Language Processing. arXiv (Cornell University). 19(3). 169–183. 50 indexed citations
16.
Liu, Rui, Xiang Li, Hui Li, et al.. (2022). High-efficiency, high-repetition-rate cavity-dumped Q-switched Yb:YAG thin-disk laser based on a 72-pass pump module. Optics Express. 30(11). 19629–19629. 7 indexed citations
17.
Sun, Tianxiang, et al.. (2022). BBTv2: Towards a Gradient-Free Future with Large Language Models. 3916–3930. 23 indexed citations
18.
Dai, Junqi, Hang Yan, Tianxiang Sun, Pengfei Liu, & Xipeng Qiu. (2021). Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. 1816–1829. 113 indexed citations
19.
Sun, Tianxiang, Yunfan Shao, Xipeng Qiu, et al.. (2020). CoLAKE: Contextualized Language and Knowledge Embedding. 3660–3670. 97 indexed citations
20.
Sun, Tianxiang, Yunfan Shao, Xiaonan Li, et al.. (2020). Learning Sparse Sharing Architectures for Multiple Tasks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8936–8943. 96 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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