Tianhua Jiang
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- Scheduling and Optimization Algorithms 29
- Advanced Manufacturing and Logistics Optimization 21
- Assembly Line Balancing Optimization 11
- Optimization and Packing Problems 3
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 12
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- Optimization and Search Problems 3
- Control and Systems Engineering top 10%
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- Plant biochemistry and biosynthesis 2
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- Animal Virus Infections Studies 2
- Co-authors
- Guanlong DengChao ZhangYi LuShuning ZhangZhiwang ZhangYufang WangQingtang SuLu Liu
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputer Networks and Communications
- Journals
- Journal of Experimental Botany (1 paper)Expert Systems with Applications (2 papers)IEEE Access (6 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Tianhua Jiang
37 papers receiving 654 citations
Peers
Comparison fields: 5 of 68
- Industrial and Manufacturing Engineering 513
- Artificial Intelligence 169
- Computer Networks and Communications 87
- Control and Systems Engineering 75
- Computational Theory and Mathematics 46
Countries citing papers authored by Tianhua Jiang
This map shows the geographic impact of Tianhua Jiang'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 Tianhua Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianhua Jiang more than expected).
Fields of papers citing papers by Tianhua Jiang
This network shows the impact of papers produced by Tianhua Jiang. 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 Tianhua Jiang. The network helps show where Tianhua Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tianhua Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 34 | |
| 15 | 2019 | 18 | |
| 16 | 2019 | 39 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 10 | |
| 19 | 2018 | 62 | |
| 20 | A HYBRID ELECTROMAGNETISM-LIKE ALGORITHM FOR A MIXED-MODEL ASSEMBLY LINE SEQUENCING PROBLEM | 2014 | 2 |
About Tianhua Jiang
Tianhua Jiang is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Management Information Systems, having authored 41 papers that have together received 677 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (29 papers), Advanced Manufacturing and Logistics Optimization (21 papers), Metaheuristic Optimization Algorithms Research (12 papers), Assembly Line Balancing Optimization (11 papers), Optimization and Search Problems (3 papers), Optimization and Packing Problems (3 papers), Plant biochemistry and biosynthesis (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (513 citations), Artificial Intelligence (169 citations) and Computer Networks and Communications (87 citations). Tianhua Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Guanlong Deng, Chao Zhang, Yi Lu, Shuning Zhang, Chao Zhang, Zhiwang Zhang, Yufang Wang, Qingtang Su, Lu Liu and Huixia Liu. Their work appears in journals such as Journal of Experimental Botany, Expert Systems with Applications and IEEE Access.
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.