Xin Jiang

7.0k total citations · 1 hit paper
84 papers, 2.1k citations indexed

About

Xin Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xin Jiang has authored 84 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Xin Jiang's work include Topic Modeling (37 papers), Natural Language Processing Techniques (34 papers) and Multimodal Machine Learning Applications (17 papers). Xin Jiang is often cited by papers focused on Topic Modeling (37 papers), Natural Language Processing Techniques (34 papers) and Multimodal Machine Learning Applications (17 papers). Xin Jiang collaborates with scholars based in China, Sweden and Hong Kong. Xin Jiang's co-authors include Lifeng Shang, Qun Liu, Yichun Yin, Xiao Dong Chen, Xiaoqi Jiao, Linlin Li, Fang Wang, Lu Hou, Yunhua Hu and Hang Li and has published in prestigious journals such as Journal of the American Statistical Association, Applied Physics Letters and Remote Sensing of Environment.

In The Last Decade

Xin Jiang

76 papers receiving 2.0k 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.

TinyBERT: Distilling BERT for Natural Language Understanding

2020 840 citations Xiaoqi Jiao, Yichun Yin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin Jiang China	22	1.5k	660	181	141	119	84	2.1k
Peng Gao China	20	761 0.5×	1.2k 1.8×	92 0.5×	93 0.7×	59 0.5×	105	2.1k
Bowen Zhang China	20	608 0.4×	364 0.6×	105 0.6×	171 1.2×	59 0.5×	137	1.5k
Timothy Dozat United States	9	1.3k 0.8×	340 0.5×	110 0.6×	86 0.6×	61 0.5×	12	1.8k
Quanshi Zhang China	20	915 0.6×	549 0.8×	71 0.4×	67 0.5×	125 1.1×	58	1.8k
Jun Tian China	13	1.1k 0.7×	358 0.5×	212 1.2×	147 1.0×	99 0.8×	75	2.0k
Jianfei Chen China	15	514 0.3×	282 0.4×	90 0.5×	141 1.0×	53 0.4×	77	1.3k
Yun Li China	17	659 0.4×	326 0.5×	197 1.1×	146 1.0×	166 1.4×	106	1.4k
Qimai Li Hong Kong	7	1.3k 0.8×	471 0.7×	329 1.8×	85 0.6×	55 0.5×	11	1.8k
Huijuan Lu China	24	716 0.5×	272 0.4×	105 0.6×	155 1.1×	52 0.4×	109	1.7k

Countries citing papers authored by Xin Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Xin Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Jiang

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

Jiang, Xin, et al.. (2024). Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection. Agriculture. 14(9). 1655–1655. 3 indexed citations

2.

Zeng, Xingshan, Yuxin Jiang, Yufei Wang, et al.. (2024). MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 20153–20177. 3 indexed citations

3.

Jiang, Yuxin, Yufei Wang, Xingshan Zeng, et al.. (2024). FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4667–4688. 2 indexed citations

4.

Zhong, Wanjun, Jiahui Gao, Weiwen Liu, et al.. (2024). Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. 4363–4400. 4 indexed citations

5.

Jia, Dongzhou, et al.. (2024). Effect of Electroplastic-Assisted Grinding on Surface Quality of Ductile Iron. Lubricants. 12(8). 266–266. 1 indexed citations

6.

Zhou, Peng, Xin Jiang, & Shu Zhao. (2024). Unsupervised technical phrase extraction by incorporating structure and position information. Expert Systems with Applications. 245. 123140–123140. 6 indexed citations

7.

Bai, Haoli, Lu Hou, Lifeng Shang, et al.. (2024). Visually Guided Generative Text-Layout Pre-training for Document Intelligence. 4713–4730. 3 indexed citations

8.

Jiang, Xin, et al.. (2024). Unsupervised Extractive Summarization with Learnable Length Control Strategies. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18372–18380. 1 indexed citations

9.

Mu, Ling, Xiaofan Li, Tian Liu, et al.. (2023). Emission factors and source profiles of VOCs emitted from coke production in Shanxi, China. Environmental Pollution. 335. 122373–122373. 13 indexed citations

10.

Jiang, Xin, et al.. (2023). BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI. Computers in Biology and Medicine. 165. 107326–107326. 30 indexed citations

11.

Wang, Weichao, Hongru Wang, Fei Mi, et al.. (2023). Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. 7829–7844. 3 indexed citations

12.

Zhou, Jiawei, Lifeng Shang, Hao Jiang, et al.. (2022). Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7135–7146. 9 indexed citations

13.

Tao, Chaofan, Lu Hou, Wei Zhang, et al.. (2022). Compression of Generative Pre-trained Language Models via Quantization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4821–4836. 31 indexed citations

14.

Shen, Jianhao, Yichun Yin, Lin Li, et al.. (2021). Generate & Rank: A Multi-task Framework for Math Word Problems. Greater South Information System. 2269–2279. 21 indexed citations

15.

Hou, Lu, Jiacheng Sun, Lifeng Shang, et al.. (2021). Improved OOD Generalization via Adversarial Training and Pretraing. International Conference on Machine Learning. 11987–11997. 8 indexed citations

16.

Zhou, Di, et al.. (2020). HyperText: Endowing FastText with Hyperbolic Geometry. 1166–1171. 20 indexed citations

17.

Chen, Yun, et al.. (2020). A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation. 191–200. 1 indexed citations

18.

Hou, Lu, Zhiqi Huang, Lifeng Shang, et al.. (2020). DynaBERT: Dynamic BERT with Adaptive Width and Depth. Neural Information Processing Systems. 33. 9782–9793. 27 indexed citations

19.

Jiao, Xiaoqi, Yichun Yin, Lifeng Shang, et al.. (2020). TinyBERT: Distilling BERT for Natural Language Understanding. 4163–4174. 840 indexed citations breakdown →

20.

Li, Zichao, Xin Jiang, Lifeng Shang, & Hang Li. (2018). Paraphrase Generation with Deep Reinforcement Learning. 3865–3878. 102 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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