Zhiting Hu

6.7k citations
54 papers · 2.5k · 2 hit papers · h-index 27

Impact in

Papers in

Zhiting Hu

54 papers receiving 2.4k citations

Zhiting Hu's Hit Papers

A Survey of Knowledge-enhanced Text Generation 2022 · 143 citations
1430+4+8Years since publication50100150200250

Peers

Zhiting Hu
Comparison fields: 5 of 111
  • Transportation 378
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 847
  • Computational Mathematics 23
  • Information Systems 750
Replace Carl Yang with:
Carl Yang United States
Guoshuai Zhao China
Tomoharu Iwata Japan
Zhixu Li China
Jiliang Tang United States
Heng-Tze Cheng United States
Yi Tay Singapore
Xiuqiang He China
Guibing Guo China
Dingqi Yang China
Zhiting Hu relative to Carl Yang United States Carl Yang's profile →
Citations per field
00.5×50×108×
Carl Yang · 1×
Citations per year

Countries citing papers authored by Zhiting Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zhiting Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhiting Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhiting Hu Line = papers co-authored together Zhiting Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LCARS
Hit paper breakdown →
2013251
2 2019195
3
A Survey of Knowledge-enhanced Text Generation
Hit paper breakdown →
2022143
4 2019114
5 2017113
6 2018111
7 2015108
8 2015104
9 201497
10 202195
11 201492
12 201691
13 202285
14
Symbolic Graph Reasoning Meets Convolutions
201873
15 201764
16
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
201856
17 202356
18 201644
19
Controllable Text Generation.
201743
20 202142

About Zhiting Hu

Zhiting Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Transportation, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (25 papers), Multimodal Machine Learning Applications (12 papers), Recommender Systems and Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Human Mobility and Location-Based Analysis (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Transportation (378 citations), Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (847 citations), Computational Mathematics (23 citations) and Information Systems (750 citations). Zhiting Hu has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Eric P. Xing, Hongzhi Yin, Bin Cui, Xiaodan Liang, Ling Chen, Yizhou Sun, Zichao Yang, Zi Huang, Xiaofang Zhou and Bowen Tan. Their work appears in journals such as ACM Transactions on Information Systems, ACM Transactions on Knowledge Discovery from Data, Nanotechnology, Computational Linguistics and ACM Computing Surveys.

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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