Haihua Pan
- Language and Linguistics top 2%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Linguistics and Language top 10%
- Cognitive Neuroscience
- Co-authors
- Jianhua HuLiejiong XuLei ZhangMing ZhouChangning HuangChunyu KitYingying WangHongbiao Chen
- Topics
- Syntax, Semantics, Linguistic Variation (19 papers)Natural Language Processing Techniques (12 papers)Language, Discourse, Communication Strategies (11 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Haihua Pan
24 papers receiving 225 citations
Peers
Comparison fields: 5 of 29
- Language and Linguistics 175
- Artificial Intelligence 132
- Experimental and Cognitive Psychology 87
- Linguistics and Language 40
- Cognitive Neuroscience 36
Countries citing papers authored by Haihua Pan
This map shows the geographic impact of Haihua Pan'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 Haihua Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haihua Pan more than expected).
Fields of papers citing papers by Haihua Pan
This network shows the impact of papers produced by Haihua Pan. 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 Haihua Pan. The network helps show where Haihua Pan may publish in the future.
Co-authorship network of co-authors of Haihua Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Haihua Pan. A scholar is included among the top collaborators of Haihua Pan 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 Haihua Pan. Haihua Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 20 | |
| 10 | 1 | |
| 11 | Thought De se, first person indexicals and Chinese reflexive ziji | 0 |
| 12 | Acquisition of Mandarin additive particles | 1 |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 10 | |
| 16 | Representing Topic-Comment Structures in Chinese | 3 |
| 17 | Processing Local Coherence of Discourse in Centering Theory | 4 |
| 18 | 21 | |
| 19 | 20 | |
| 20 | 11 |
About Haihua Pan
Haihua Pan is a scholar working on Language and Linguistics, Linguistics and Language and Experimental and Cognitive Psychology, having authored 28 papers that have together received 271 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (19 papers), Natural Language Processing Techniques (12 papers) and Language, Discourse, Communication Strategies (11 papers). The work is most often cited by research in Language and Linguistics (175 citations), Linguistics and Language (40 citations) and Experimental and Cognitive Psychology (87 citations). Haihua Pan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jianhua Hu, Liejiong Xu, Jianhua Hu, Lei Zhang, Ming Zhou, Changning Huang, Chunyu Kit, Yingying Wang, Hongbiao Chen and Haifeng Duan. Their work appears in journals such as Language, Frontiers in Psychology and Journal of Pragmatics.
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.