Haiting Han

465 citations
7 papers · 297 · 1 hit paper · h-index 4

Impact in

Papers in

Haiting Han

7 papers receiving 280 citations

Haiting Han's Hit Papers

Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies 2023 · 120 citations
1200+1+2Years since publication4080120

Peers

Haiting Han
Comparison fields: 5 of 68
  • Health Informatics 8
  • Signal Processing 46
  • Computer Networks and Communications 83
  • Economics and Econometrics 71
  • Strategy and Management 36
Replace Shastri L. Nimmagadda with:
Shastri L. Nimmagadda Australia
Martin Nowack Germany
Manas Kumar Sanyal India
M. Yu. Kataev Russia
Michael R. Evans United States
Haiting Han relative to Shastri L. Nimmagadda Australia Shastri L. Nimmagadda's profile →
Citations per field
00.5×6.5×
Shastri L. Nimmagadda · 1×
Citations per year

Countries citing papers authored by Haiting Han

Since Specialization
Citations

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

Fields of papers citing papers by Haiting Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Haiting Han, 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 Haiting Han Line = papers co-authored together Haiting Han links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2020125
2
Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies
Hit paper breakdown →
2023120
3 202333
4 202414
5 20212
6 20212
7 20231

About Haiting Han

Haiting Han is a scholar working on Global and Planetary Change, Computer Networks and Communications, Social Psychology, Sociology and Political Science and Information Systems, having authored 7 papers that have together received 297 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (3 papers), Network Security and Intrusion Detection (2 papers), Urban Green Space and Health (1 paper), Innovation Diffusion and Forecasting (1 paper), Urban Heat Island Mitigation (1 paper), Advanced Malware Detection Techniques (1 paper), Remote Sensing in Agriculture (1 paper) and Regional Development and Environment (1 paper). The work is most often cited by research in Health Informatics (8 citations), Signal Processing (46 citations), Computer Networks and Communications (83 citations), Economics and Econometrics (71 citations) and Strategy and Management (36 citations). Haiting Han has collaborated with scholars based in China, Denmark and Italy. Frequent co-authors include Hui Wu, Shengli Sun, Yang Xu, Chengming Li, Hao Zheng, Zeyu Wang, Shidong Ge, Guohang Tian, Yang Liu and Ruizhen He. Their work appears in journals such as Resources Policy, IEEE Access, Journal of Cleaner Production, The Science of The Total Environment and Land.

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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