Haoran Li

1.1k citations
29 papers · 686 indexed · h-index 13

Haoran Li

23 papers receiving 666 citations

Peers

Haoran Li
Comparison fields: 5 of 54
  • Artificial Intelligence 590
  • Computer Vision and Pattern Recognition 259
  • General Social Sciences 14
  • Signal Processing 41
  • Health Informatics 3
Replace Junnan Zhu with:
Junnan Zhu China
Feifei Zhai China
Cícero Nogueira dos Santos United States
Wangchunshu Zhou China
Yinhan Liu United States
Minjoon Seo South Korea
Anastasia Shimorina France
Danilo Giampiccolo Israel
Kelvin Guu United States
Pradeep Dasigi United States
Haoran Li relative to Junnan Zhu China Junnan Zhu's profile →
Citations per field
00.5×1.6×
Junnan Zhu · 1×
Citations per year

Countries citing papers authored by Haoran Li

Since Specialization
Citations

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

Fields of papers citing papers by Haoran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Haoran Li, 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 Haoran Li Line = papers co-authored together Haoran Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 20243
5 20230
6 202211
7 20220
8 20211
9 202024
10 202026
11 202068
12 202054
13 2018105
14
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
201847
15 201872
16 201829
17 201769
18 20178
19 20167
20
Study on the Stability of Monascus Pigment
20032

About Haoran Li

Haoran Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Conservation, having authored 29 papers that have together received 686 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers), Advanced Text Analysis Techniques (6 papers), Multimodal Machine Learning Applications (5 papers), Image Processing and 3D Reconstruction (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Text Readability and Simplification (2 papers) and Wireless Signal Modulation Classification (2 papers). The work is most often cited by research in Artificial Intelligence (590 citations), Computer Vision and Pattern Recognition (259 citations) and General Social Sciences (14 citations). Haoran Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chengqing Zong, Jiajun Zhang, Junnan Zhu, Xiaodong He, Cong Ma, Yu Zhou, Youzheng Wu, Yu Zhou, Changliang Li and Bowen Zhou. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Building Engineering and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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