Jingfang Xu

1.8k total citations · 1 hit paper
42 papers, 1.0k citations indexed

About

Jingfang Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jingfang Xu has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Jingfang Xu's work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (11 papers). Jingfang Xu is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (11 papers). Jingfang Xu collaborates with scholars based in China, United States and Switzerland. Jingfang Xu's co-authors include Minlie Huang, Haizhou Zhao, Xiaoyan Zhu, Tom Young, Hao Zhou, Feifei Zhai, Huanbo Luan, Yang Liu, Jiacheng Zhang and Maosong Sun and has published in prestigious journals such as Applied Physics Letters, Information Sciences and Computer Networks.

In The Last Decade

Jingfang Xu

39 papers receiving 988 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.

Commonsense Knowledge Aware Conversation Generation with Graph Attention

2018 317 citations Hao Zhou, Tom Young et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingfang Xu China	16	815	283	142	67	55	42	1.0k
Fiaz Gul Khan Pakistan	12	141 0.2×	265 0.9×	107 0.8×	52 0.8×	118 2.1×	32	893
Abhinav Gupta India	16	466 0.6×	1.1k 3.9×	48 0.3×	20 0.3×	32 0.6×	73	1.4k
Yanzhao Wu United States	14	387 0.5×	143 0.5×	142 1.0×	41 0.6×	54 1.0×	48	689
Siraj M. Khan Pakistan	9	186 0.2×	365 1.3×	26 0.2×	29 0.4×	38 0.7×	19	574
Zihan Zhang China	12	257 0.3×	71 0.3×	64 0.5×	21 0.3×	40 0.7×	41	465
Jun Yuan China	15	267 0.3×	386 1.4×	31 0.2×	179 2.7×	51 0.9×	36	770
Yi Zhu China	15	370 0.5×	124 0.4×	150 1.1×	39 0.6×	55 1.0×	87	577
Benyou Wang China	17	729 0.9×	216 0.8×	149 1.0×	42 0.6×	24 0.4×	60	1.0k
Longyue Wang China	16	685 0.8×	238 0.8×	37 0.3×	24 0.4×	13 0.2×	90	901
James Clarke United Kingdom	12	872 1.1×	158 0.6×	70 0.5×	25 0.4×	15 0.3×	26	1.1k

Countries citing papers authored by Jingfang Xu

Since Specialization

Citations

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

Fields of papers citing papers by Jingfang Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingfang Xu

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

Xu, Weize, Jingjing Ye, Haomin Li, et al.. (2022). Automatic pediatric congenital heart disease classification based on heart sound signal. Artificial Intelligence in Medicine. 126. 102257–102257. 40 indexed citations

2.

Xu, Jingfang, et al.. (2021). Transfer Learning for Sequence Generation: from Single-source to Multi-source. 5738–5750. 3 indexed citations

3.

Zhang, Jiacheng, Huanbo Luan, Maosong Sun, et al.. (2021). Neural Machine Translation With Explicit Phrase Alignment. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 1001–1010. 15 indexed citations

4.

Yao, Ting, et al.. (2021). ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks. 2601–2612. 2 indexed citations

5.

Shi, Shaoyun, Weizhi Ma, Zhen Wang, et al.. (2021). WG4Rec. 1651–1660. 12 indexed citations

6.

Wang, Bingning, et al.. (2020). Neural Question Generation with Answer Pivot. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9138–9145. 17 indexed citations

7.

Wang, Yining, Long Zhou, Jiajun Zhang, et al.. (2019). A Compact and Language-Sensitive Multilingual Translation Method. 1213–1223. 19 indexed citations

8.

Wang, Yining, Jiajun Zhang, Feifei Zhai, Jingfang Xu, & Chengqing Zong. (2018). Three Strategies to Improve One-to-Many Multilingual Translation. 39 indexed citations

9.

Zhang, Jiacheng, Huanbo Luan, Maosong Sun, et al.. (2018). Improving the Transformer Translation Model with Document-Level Context. 533–542. 130 indexed citations

10.

Zhu, Xiaowei, Bowen Yu, Wei Xue, et al.. (2018). ShenTu: Processing Multi-Trillion Edge Graphs on Millions of Cores in Seconds. 706–716. 42 indexed citations

11.

Qiao, Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, & Xiaoyan Zhu. (2018). Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation. 4279–4285. 75 indexed citations

12.

Zhou, Hao, Tom Young, Minlie Huang, et al.. (2018). Commonsense Knowledge Aware Conversation Generation with Graph Attention. 4623–4629. 317 indexed citations breakdown →

13.

Liu, Yining, et al.. (2018). Privacy-preserving raw data collection without a trusted authority for IoT. Computer Networks. 148. 340–348. 76 indexed citations

14.

Luo, Cheng, Yukun Zheng, Yiqun Liu, et al.. (2017). SogouT-16. 1233–1236. 8 indexed citations

15.

Xu, Jingfang, et al.. (2016). Synthesis of Cyclohexanone Pentaerythritol Ketal Catalyzed by Sulfonated Zeolite. 1 indexed citations

16.

Zhou, Jingyi, et al.. (2011). Microsurgical anatomical study of the frontotemporal-zygomatic arch approach to the superior petroclival region. Experimental and Therapeutic Medicine. 2(6). 1211–1214. 1 indexed citations

17.

Xu, Peng, et al.. (2010). One-time encryption-key technique for the traditional DL-based encryption scheme with anonymity. Information Sciences. 180(22). 4420–4429. 2 indexed citations

18.

Feng, Tao, Jihua Zhang, Xi Wang, et al.. (2005). SURFACE MODIFICATION OF PRINTED CARBON NANOTUBES AND ITS APPLICATION OF FIELD EMISSION. Surface Review and Letters. 12(05n06). 733–739. 2 indexed citations

19.

Li, Wei, Dongsheng Mao, Fu‐Min Zhang, et al.. (2001). ZnO:Zn phosphor thin films prepared by filtered arc deposition. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 19(3). 1004–1007. 3 indexed citations

20.

Mao, Dongsheng, Jun Zhao, Wei Li, et al.. (1999). Electron Field Emission from Different sp ³ Content Diamond-Like Carbon Films. Chinese Physics Letters. 16(2). 152–154. 4 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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