Hao Jin

924 citations
33 papers · 494 · h-index 7

Impact in

Papers in

    • Financial Risk and Volatility Modeling 11
    • Stochastic processes and financial applications 2
    • Market Dynamics and Volatility 6
    • Complex Systems and Time Series Analysis 4

Hao Jin

26 papers receiving 474 citations

Peers

Hao Jin
Comparison fields: 5 of 85
  • Signal Processing 126
  • Management Science and Operations Research 118
  • Artificial Intelligence 172
  • Software 19
  • Computer Networks and Communications 72
Replace Mohammed Nasser with:
Mohammed Nasser Bangladesh
Ratnadip Adhikari India
Limin Wang China
R. Frank United Kingdom
Babita Majhi India
Vítor Cerqueira Canada
Banyatsang Mphago Botswana
Alexandra A. Vagis Ukraine
Héctor Allende Chile
Zongwen Fan China
Hao Jin relative to Mohammed Nasser Bangladesh Mohammed Nasser's profile →
Citations per field
00.5×9.5×
Mohammed Nasser · 1×
Citations per year

Countries citing papers authored by Hao Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007320
2 201767
3 202214
4
Mutual Information and Gamma Test for Input Selection
200512
5
Natural Language Adversarial Defense through Synonym Encoding
202111
6 20138
7 20206
8 20186
9 20105
10 20244
11 20164
12 20104
13 20224
14 20244
15 20224
16 20213
17
Natural Language Adversarial Attack and Defense in Word Level
20193
18 20173
19 20132
20 20232

About Hao Jin

Hao Jin is a scholar working on Finance, Economics and Econometrics, Artificial Intelligence, Statistics and Probability and General Economics, Econometrics and Finance, having authored 33 papers that have together received 494 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (11 papers), Market Dynamics and Volatility (6 papers), Advanced Statistical Methods and Models (5 papers), Monetary Policy and Economic Impact (5 papers), Statistical Methods and Inference (4 papers), Complex Systems and Time Series Analysis (4 papers), Stochastic processes and financial applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Signal Processing (126 citations), Management Science and Operations Research (118 citations), Artificial Intelligence (172 citations), Software (19 citations) and Computer Networks and Communications (72 citations). Hao Jin has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yongnan Ji, Nima Reyhani, Amaury Lendasse, Antti Sorjamaa, Di Wu, Dali Zhu, Weiyi Chen, Ying Yang, Jinsuo Zhang and Si Zhang. Their work appears in journals such as Mathematics and Computers in Simulation, International Business Management, Energy Economics, International Journal of Low-Carbon Technologies and IEEE Journal of Biomedical and Health Informatics.

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.

Explore authors with similar magnitude of impact